Software Quality Assurance: In Large Scale and Complex Software-intensive Systems | Guide books

Software Quality Assurance: In Large Scale and Complex Software-intensive SystemsNovember 2015

November 2015

Publisher:

Morgan Kaufmann Publishers Inc.
340 Pine Street, Sixth Floor
San Francisco
CA
United States

ISBN:978-0-12-802301-3

Published:02 November 2015

Pages:

416

Available at Amazon

Bibliometrics

Sections

2015

Abstract

Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrows) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality.Focused on quality assurance at all levels of software design and developmentCovers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systemsExplains likely trade-offs from design decisions in the context of complex software system engineering and quality assuranceIncludes practical case studies of software quality assurance for complex, adaptive and context-critical systems

References

¿http://en.wikipedia.org/wiki/Deployment_Plan¿.Google Scholar
Bass, L., Weber, I., Zhu, L., 2015. DevOps: A Software Architect's Perspective. Pearson Publishing. Google Scholar
Newman, S., 2014. Building Microservices: Designing Fine-Grained Systems. O'Reilly Media. Google Scholar
Ambler, S., 2005. Quality in an agile world. Softw. Qual. Prof.Google Scholar
Cleland-Huang, J., 2015. Don't fire the architect! Where were the requirements? IEEE Softw¿.Google Scholar
Dorner, R., 1996. The Logic of Failure: Recognizing and Avoiding Error in Complex Situations. Perseus Books, Cambridge, MA.Google Scholar
Goldstein, H., 2005. Who killed the virtual case file? IEEE Spectr. Google Scholar
Herbsleb, J.D., D.Z., 1997. Software quality and the capability maturity model. Commun. ACM 40, 6. Google ScholarDigital Library
IEEE, 2010. Standard ISO/IEC/IEEE 24765:2010. IEEE.Google Scholar
Len Bass, P.C., 2012. Software Architecture in Practice. Addison-Wesley. Google Scholar
Mirakhorli, M., Cleland-Huang, J., 2013. Traversing the twin peaks. IEEE Softw. Google Scholar
NASA, n.d. Software Assurance Definitions. National Aeronautics and Space Administration.Google Scholar
National Research Council of the National Academies, 2010. Software Producibility for Defense. The National Academies Press, Washington, DC.Google Scholar
Nelly Bencomo, R.B., 2014. [email protected], Applications, and Roadmaps (Dagstuhl Seminar 11481). Lecture Notes in Computer Science 8378. Springer.Google Scholar
Robertson, S.R., 2013. Mastering the Requirements Process. Pearson Education. Google Scholar
Albert, W., Tullis, T., 2013. Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann. Google Scholar
Ali, N., Solis, C., 2014. Exploring how the attribute driven design method is perceived, In: Mistrik, I., Bahsoon, R., Eeles, P., Roshandel, R., Stal, M. (Eds.), Relating System Quality and Software Architecture. Morgan Kaufman Elsevier, United States, pp. 2340. ISBN 9780124170094.Google Scholar
Ali, N., Rosik, J., Buckley, J. Characterizing real-time reflexion-based architecture recovery: an in-vivo multi-case study. In: Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA'12). ACM, New York, NY, pp. 23-32. Google Scholar
Babar, M.A., Zhu, L., Jeffery, R., 2004. A framework for classifying and comparing software architecture evaluation methods. In: ASWEC, p. 309. Google Scholar
Bachmann, F., Bass, L., Klein, M., 2003. Deriving Architectural. Tactics: A Step Toward. Methodical Architectural. Design. CMU/SEI-2003-TR-004. ESC-TR-2003-004.Google Scholar
Bachmann, F., Bass, L., Klein, M., Shelton, C., 2005. Designing software architectures to achieve quality attribute requirements. In: Software, IEE Proceedings, vol. 152, issue 4, pp. 153-165.Google ScholarCross Ref
Bardram, J.E., Christensen, H.B., Corry, A.V., Hansen, K.M., Ingstrup, M., 2005. Exploring quality attributes using architectural prototyping. In: Proceedings of First International Conference on the Quality of Software Architectures, LNCS, vol. 3712, pp. 155-170. Google Scholar
Bass, L., Clements, P., Kazman, R., 2010. Software Architecture in Practice, third ed. Addison-Wesley Professional. Google Scholar
Boehm, B., 1978. Characteristics of Software Quality, Vol 1 of TRW Series on Software Technology. North-Holland, Amsterdam, Holland.Google Scholar
Chrissis, M.B., Konrad, M., Shrum, S., 2003. CMMI Guidlines for Process Integration and Product Improvement. Addison-Wesley Longman Publishing Co., Inc. Google Scholar
Christensen, H.B., Hansen, K.M., 2010. An empirical investigation of architectural prototyping. J. Syst. Softw. 83 (1), 133-142. Google ScholarDigital Library
Diaz-Pace, A., Kim, H., Bass, L., Bianco, P., Bachmann, F., 2008. Integrating quality-attribute reasoning frameworks in the ArchE design assistant. In: Proceedings of the 4th International Conference on Quality of Software-Architectures: Models and Architectures, LNCS, vol. 5281, pp. 171-188. Google Scholar
Dybå, T., Dingsøyr, T., 2008. Empirical studies of agile software development: a systematic review. Inf. Softw. Technol. 50 (9), 833-859. Google ScholarDigital Library
Eixelsberger, W., Ogris, M., Gall, H., Bellay, B., 1998. Software architecture recovery of a program family. In: ICSE, pp. 508-511. Google Scholar
Emeakaroha, V.C., et al. 2010. Low level metrics to high level SLAs-LoM2HiS framework: bridging the gap between monitored metrics and SLA parameters in cloud environments. In: 2010 International Conference on High Performance Computing and Simulation (HPCS), IEEE.Google Scholar
Fenton, N.E., Pfleger, S.L., 1998. Software Metrics--A Rigorous and Practical Approach, second ed. International Thomson Press, London. Google Scholar
Franke, D., Weise, C. 2011. Providing a software quality framework for testing of mobile applications. In: 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation (ICST), IEEE. Google Scholar
Galin, D., 2004. Software Quality Assurance: From Theory to Implementation. Pearson Education.Google Scholar
Garlan, D., Schmerl, B., 2004. Using Architectural Models at Runtime: Research Challenges. In: First European Workshop on Software Architecture, LNCS 3047. Springer, pp. 200-205.Google Scholar
Gorton, I., 2006. Essential Software Architecture. Springer-Verlang. Google Scholar
Gross, D., Yu, E., 2001. From non-functional requirements to design through patterns. Requirements Eng. 6 (1), 18-36.Google ScholarCross Ref
Guide to the Software Engineering Body of Knowledge, 2015. SWEBOK Guide ¿https://www.computer.org/web/swebok¿.Google Scholar
Harrison, N.B., Avgeriou, P., 2007. Leveraging architecture patterns to satisfy quality attributes. In: European Conference on Software Architecture, LNCS, pp. 263-270. Google Scholar
Harrison, N.B., Avgeriou, P., 2010. How do architecture patterns and tactics interact? A model and annotation. J. Syst. Softw. 83 (10), 1735-1758. Google ScholarDigital Library
Huang, G., Hong, M., Yang, F.Q., 2006. Runtime recovery and manipulation of software architecture of component-based systems. Autom. Softw. Eng. 13 (2), 257-281. Google ScholarDigital Library
IEEE Std 610.12-1990--IEEE Standard Glossary of Software Engineering Terminology, Corrected Edition, February 1991. In: IEEE Software Engineering Standards Collection, The Institute of Electrical and Electronics Engineers, New York, 1991.Google Scholar
IEEE, 1061-1992--IEEE Standard for a Software Quality Metrics Methodology, IEEE Computer Society, 1992, http://dx.doi.org/10.1109/IEEESTD.1993.115124.Google Scholar
ISO/IEC/IEEE 24765:2010(E)--IEEE Systems and Software Engineering Vocabulary, 2010.Google Scholar
ISO 9000-3:1997(E), Quality Management and Quality Assurance Standards--Part 3: Guidelines for the Application of ISO 9001:1994 to the Development, Supply, Installation and Maintenance of Computer Software, second ed. International Organization for Standardization (ISO), Geneva.Google Scholar
ISO 9000-3:2001 Software and System Engineering--Guidelines for the Application of ISO 9001:2000 to Software, Final draft. International Organization for Standardization (ISO), Geneva, unpublished draft, December 2001.Google Scholar
ISO/IEC Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SquaRE)--System and Software Quality Models. ISO/IEC 25010:2011, 2011. Available from: ¿http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber535733¿.Google Scholar
Kan, S.H., 2002. Metrics and Models in Software Quality Engineering. Addison-Wesley Longman Publishing Co., Inc. Google Scholar
Kazman, R., Bass, L., Klein, M., 2006. The essential components of software architecture design and analysis. J. Syst. Softw. 79 (8), 1207-1216. Google ScholarDigital Library
Kitchenham, B.A., 1996. Software Metrics: Measurement for Software Process Improvement. Blackwell Publishers, Inc. Google ScholarDigital Library
Koschke, R., 2000. Atomic Architectural Component Recovery for Program Understanding and Evolution (Ph.D. thesis). Universität Stuttgart.Google Scholar
Koschke, R., Simon, D., 2003. Hierarchical reflexion models. In: Proceedings of the 10th Working Conference on Reverse Engineering, Victoria, Canada. Google Scholar
Li, Z. et al., 2012. On a catalogue of metrics for evaluating commercial cloud services. In: Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing. IEEE Computer Society. Google Scholar
McCall, J., Richards, P., Walters, G., 1977. Factors in Software Quality, vols. 13, NTIS AD-A049-014, 015, 055, November 1977.Google Scholar
Murphy, G., Notkin, D., Sullivan, K., 2001. Software reflexion models: bridging the gap between design and implementation. IEEE Trans. Softw. Eng. 27 (4), 364-380. Google ScholarDigital Library
Patel, C., Ramachandran, M., 2009. Agile maturity model (AMM): a Software Process Improvement framework for agile software development practices. Int. J. Softw. Eng. 2 (1), 3-28.Google Scholar
Papazoglou, M.P., van den Heuvel, W.J., 2003. Service-oriented computing: state-of-the-art and open research issues. IEEE Comput. 40 (11). Google Scholar
Pohl, K., 2010. Requirements Engineering: Fundamentals, Principles, and Techniques. Springer Publishing. Google ScholarCross Ref
Remco, C., Van Vliet, H., 2009. QuOnt: an ontology for the reuse of quality criteria. In: ICSE Workshop on Sharing and Reusing Architectural Knowledge, pp. 57-64. Google Scholar
Rozanski, N., Woods, E., 2011. Software Systems Architecture: Working with Stakeholders Using Viewpoints and Perspectives. Addison-Wesley. Google Scholar
Schulmeyer, G., 2007. Handbook of Software Quality Assurance. Artech House Publishers. fourth ed. Google Scholar
Software Engineering Institute, 2010. Software Architecture Glossary. ¿http://www.sei.cmu.edu/architecture/start/glossary/¿.Google Scholar
Stoermer, C., Rowe, A., O'Brien, L., Verhoef, C., 2006. Model-centric software architecture reconstruction. Softw. Pract. Exper. 36 (4), 333363, ISSN 0038-0644. http://dx.doi.org/10.1002/spe.v36:4. Google Scholar
Tvedt, R.T., Costa, P., Lindvall, M., 2004. Evaluating software architectures. Adv. Comput. 61, 1-43, ¿http://dblp.uni-trier.de/db/journals/ac/ac61.html#TvedtCL04¿.Google ScholarCross Ref
Tian, J., 2005. Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement. John Wiley & Sons. Google Scholar
Wojcik, R., Bachmann, F., Bass, L., Clements, P., Merson, P., Nord, R., et al., 2006. Attribute-Driven Design (ADD), Version 2.0. Technical Report CMU/SEI-2006-TR-023, SEI.Google Scholar
Abran, A, Nguyenkim, H, 1993. Measurement of the maintenance process from a demand-based perspective. J. Softw. Maintenance Res. Pract. 5 (2), 63-90.Google ScholarCross Ref
Abrial, J, 2009. Faultless systems: yes we can!. IEEE Comput. 42 (9), 30-36. Google ScholarDigital Library
Ambler, S., 2002. What is agile modeling (AM)? ¿http://www.agilemodeling.com/¿ (accessed 3.02.15.).Google Scholar
Andreou, A, et al., 2005. Key issues for the design and development of mobile commerce services and applications. Int. J. Mobile Commun. 3 (3), 303-323. Google ScholarDigital Library
Arthur, L, 1997. Quantum improvements in software system quality. CACM 40 (6), 47-52. Google ScholarDigital Library
Baaz, A, et al., 2010. Appreciating lessons learned. IEEE Softw. 27 (4), 72-79. Google ScholarDigital Library
Basili, V. et al., 1994. Using measurement to build core competencies in software. ¿http://www.cs.umd.edu/Bmvz/handouts/gqm.pdf¿ (accessed 3.02.15.).Google Scholar
Beck, K., 2004. Extreme Programming Explained: Embrace Change. Addison-Wesley, Massachusetts, USA. Google Scholar
Begel A, DeLine R, Zimmerman T, 2010. Social media for software engineering. In: Proceedings on the Future of Software Engineering Research. ACM, November. Google Scholar
Black, S, et al., 2009. Formal versus agile: survival of the fittest? IEEE Comput. 42 (9), 37-45. Google ScholarDigital Library
Boehm, B, Basili, V, 2001. Software defect reduction top ten list. IEEE Comput. 34 (1), 135-138. Google ScholarDigital Library
Boehm, B, et al., 1978. Characteristics of Software Quality. North Holland Publishing, New York, USA.Google Scholar
Breu, R, Kuntzmann-Combelles, A, Felderer, M, 2014. New perspectives on software quality. IEEE Softw. 31 (1), 32-38. Google ScholarDigital Library
Cantor, M, Royce, W, 2014. Economic governance of software delivery. IEEE Softw. 31 (1), 54-61. Google ScholarDigital Library
Chidamber, S, Kemerer, C, 1994. A metrics suite for object oriented design. IEEE Trans. Softw. Eng. 20 (6), 476-493. Google ScholarDigital Library
Chung, L, Leite, J, 2009. On Non-Functional Requirements in Software Engineering Conceptual Modeling: Foundations and Applications. Springer-Verlag, Heidelberg, Germany. Google Scholar
De Almeida, J, Camargo, J, Basseto, B, Paz, S, 2003. Best practices in code inspection for safety-critical software. IEEE Softw. 20 (3), 56-63. Google ScholarDigital Library
Dig, D, Manzoor, K, Johnson, R, Nguyen, T, 2008. Effective software merging in the presence of object-oriented refactorings. IEEE Trans. Softw. Eng. 34 (3), 321-335. Google ScholarDigital Library
e Abreu, F., 1995. The MOOD metrics set. In: European Conference on Object-Oriented Programming (ECOOP'95) Workshop on Metrics, Aarhus, Denmark.Google Scholar
e Abreu, F., Melo, W., 1996. Evaluating the impact of object-oriented design on software quality. In: Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results (METRICS'96). IEEE Computer Society, Washington, DC, USA, pp. 90-99. Google Scholar
Ekman, T, Asklund, U, 2004. Refactoring-aware versioning in eclipse. Electron. Notes Theor. Comput. Sci. 107, 57-69. Google ScholarDigital Library
Ericson, C, 2005. Hazard Analysis Techniques for System Safety. Wiley-Interscience, New Jersey, USA.Google Scholar
Falessi, D, Sabetzadeh, M, Briand, L, Turella, E, Coq, T, Panesar-Walawege, R, 2012. Planning for safety standards compliance: a model-based tool-supported approach. IEEE Softw. 29 (3), 64-70. Google ScholarDigital Library
Fehlmann, T., 2003. Six sigma for software. ¿http://citeseerx.ist.psu.edu/viewdoc/download?doi510.1.1.91.6736&rep5rep1&type5pdf¿ (accessed 15.01.15.).Google Scholar
Firesmith, D, 2012. Security and Safety Requirements for Software-intensive Systems. Auerbach, Massachusetts, USA. Google Scholar
Fowler, M, Beck, K, Brant, J, Opdyke, W, Roberts, D, 1999. Refactoring--Improving the Design of Existing Code. Addison-Wesley, Massachusetts, USA. Google Scholar
Gage, D., McCormick, J., 2004. We did nothing wrong. Baseline Magazine, March 4, 2004 ¿http://www.baselinemag.com/c/a/Projects-Processes/We-Did-Nothing-Wrong¿ (accessed 16.12.14.).Google Scholar
Gardner, D., 2009. Can software development aspire to the cloud? ZDNet.com April 28, 2009 ¿http://www.zdnet.com/blog/gardner/can-software-development-aspire-to-the-cloud/2915¿ (accessed 25.10.14.).Google Scholar
Garvin, D, 1984. What does product quality really mean? Sloan Manage. Rev. 1984 (Fall), 25-45.Google Scholar
Gonclaves, L., Linderss, B., 2014. Getting value out of agile retrospectives. Leanpub.Google Scholar
Grady, R, 1992. Practical Software Metrics for Project Management and Process Improvement. Prentice-Hall, New Jersey, USA. Google Scholar
Hall, A, 1990. Seven myths of formal methods. IEEE Softw. 1990 (September), 11-20. Google ScholarDigital Library
Hardy, T., 2012. Software and System Safety. Authorhouse, Indiana, USA.Google Scholar
Hatton, L, 2007. The chimera of software quality. IEEE Comput. 40 (8), 102-103, 104. Google ScholarDigital Library
IEEE 1012-2012, 2012. IEEE Standard for System and Software Verification and Validation. ¿http://standards.ieee.org/findstds/standard/1012-2012.html¿ (accessed 12.02.15.).Google Scholar
ISO 25010:2011, 2011. System and Software Quality Models. ¿https://www.iso.org/obp/ui/#iso:std:iso-iec:25010:ed-1:v1:en¿ (accessed 12.02.15.).Google Scholar
Kim, M, Notkin, D, Grossman, D, Wilson, G, 2012. Identifying and summarizing systematic code changes via rule inference. IEEE Trans. Softw. Eng. 39 (1), 45-62. Google ScholarDigital Library
Koegel, M, Herrmannsdoerfer, M, Li, Y, Helming, J, Joern, D, 2010. Comparing state and operation-based change tracking on models. In: Proceedings of the IEEE International EDOC Conference. Google Scholar
Korpipaa, P, et al., 2003. Managing context Information in mobile devices. IEEE Pervasive Comput. 2 (3), 42-51. Google ScholarDigital Library
Kuehlemann, A, 2014. Transforming Test Through Automation. ¿http://www.it-daily.net/downloads/WP-Coverity-Transforming-Testing-0613.pdf¿ (accessed 12.02.15.).Google Scholar
Lago, P, et al., 2010. Software architecture: framing stakeholders' concerns. IEEE Software 27 (6), 20-24. Google ScholarDigital Library
Lawler, J, Kitchenham, B, 2003. Measurement modeling technology. IEEE Softw. 20 (3), 68-75. Google ScholarDigital Library
Lazaroni, M, et al., 2011. Reliability Engineering. Springer, New York, USA.Google Scholar
Li, J, Stälhane, T, Conradi, R, Kristiansen, J, 2012. Enhancing defect tracking systems to facilitate software quality improvement. IEEE Softw. 29 (2), 59-66. Google ScholarDigital Library
Mallikarunja, C, et al., 2014. A report on the analysis of software maintenance and impact on quality factors. Int. J. Eng. Sci. Res. 05 (1), 1485-1489.Google Scholar
McCall, J, Richards, P, Walters, G, 1977. Factors in Software Quality (Three volumes, NTIS AD-A) 49-014, 015, 055.Google Scholar
Mead, N, Jarzombek, J, 2010. Advancing software assurance with publicprivate sector collaboration. IEEE Comput. 43 (9), 21-30. Google ScholarDigital Library
Mottu, J, Baudry, B, LeBron, Y, 2008. Model transformation testing: oracle issue. In: Proceedings of the 2008 IEEE International Conference on Software Testing Verification and Validation Workshop (ICSTW'08). IEEE Computer Society, Washington, DC, USA, pp. 105-112. Google Scholar
Musa, J, et al., 1987. Engineering and Managing Software with Reliability Measures. McGraw-Hill, New York, USA. Google Scholar
Poth, A, Suyaev, A, 2014. Effective quality management: value and risk-based software quality management. IEEE Softw. 31 (6), 79-85.Google ScholarCross Ref
Pressman, R S, Maxim, B R, 2014. Software Engineering: A Practitioner's Approach. McGraw-Hill, New York, USA. Google ScholarDigital Library
Redwine, S, 2010. Fitting software assurance into higher education. IEEE Comput. 43 (9), 41-66. Google ScholarDigital Library
Redzic, C., Biak, J., 2006. Six sigma approach in quality improvement. In: Proceedings of Fourth International Conference on Software Engineering Research, Management, and Applications (SERA'06), August 2006, pp. 396-406. Google ScholarDigital Library
Reuveni, D., 2012. Crowdsourcing provides answer to app testing dilemma. ¿http://www.wirelessweek.com/Articles/2010/02/Mobile-Content-CrowdsourcingAnswer-App-Testing-Dilemma-Mobile-Applications/¿ (accessed 9.09.15.).Google Scholar
Revelle, J, 2004. Quality Essentials: A Reference Guide from A to Z. ASQ Quality Press, Wisconsin, USA.Google Scholar
Robes, R., 2007. Mining a change-based software repository. In: Proceedings of the Workshop on Mining Software Repositories (MSR'07). IEEE Computer Society, pp. 15-23. Google Scholar
Rokosz, V, 2003. Long-term testing in a short-term world. IEEE Softw. 20 (3), 64-67. Google ScholarDigital Library
Rooksby, J, et al., 2009. Testing in the wild: the social and organizational dimensions of real world practice. J. Comput. Support. Work 18 (9), 559-580. Google ScholarDigital Library
Schulmeyer, G, 2007. Handbook of Software Quality Assurance. Artech House, Massachusetts, USA. Google Scholar
Shull, F, 2012. Designing a world at your finger tips: a look at mobile user interfaces. IEEE Softw. 29 (4), 4-7. Google ScholarDigital Library
Siakas, K. et al., Integrating six sigma with CMMI for high quality software. In: Proceedings of the 14th Software Quality Management Conference (SQM'06), April 2006. British Computer Society, pp. 85-96.Google Scholar
Sinn, R, 2008. Software Security Technologies. Thomson Course Technology, Massachusetts, USA. Google Scholar
Sterling, C, 2010. Managing Software Debt: Building for Inevitable Change. Addison-Wesley, Massachusetts, USA. Google Scholar
Tutelage, M, Dubai, G, 2012. A research study on importance of testing and quality assurance in software development life cycle (SDLC) model. Int. J. Soft Comput. Eng. 2 (3), 251-257.Google Scholar
Vargs, J., Cordoba, J., 2001. 10 best practices for effective testing and QA implementation. Softek Trends & Vision Newsletter 4 (July).Google Scholar
Wiegers, K, 2002. Peer Reviews in Software. Addison-Wesley, Massachusetts, USA.Google Scholar
Wood, D (Ed.), 2012. Principles of Quality Costs. ASQ Quality Press, Wisconsin, USA.Google Scholar
Yacoub, S, 2003. Automated QA for document understanding systems. IEEE Softw. 20 (3), 76-82. Google ScholarDigital Library
Akao, Y., 1994. Development history of quality function deployment. The Customer Driven Approach to Quality Planning and Deployment. Asian Productivity Organization, Minato, Tokyo, ISBN 92-833-1121-3.Google Scholar
Baily, R.A., 2008. Design of Comparative Experiments. Cambridge University Press, Cambridge, UK, ISBN 978-0521-68357-9.Google Scholar
Beck, K. et al., 2001. Available from ¿http://agilemanifesto.org¿ (retrieved October 2014).Google Scholar
Boehm, B.W., Brown, J.R., Kaspar, H., Lipow, M., McLeod, G., Merritt, M., 1978. Characteristics of Software Quality. North Holland Publishing, Amsterdam, the Netherlands.Google Scholar
Brooks, 1975. The Mythical Man Month. Addison-Wesley, Reading, MA, Chapter 14. Google Scholar
CMMI®, 2010. CMMI Product Team: CMMI for Development, Version 1.3 (CMU/SEI-2010- TR-033). Carnegie Mellon University, Software Engineering Institute, Pittsburgh, PA.Google Scholar
Crosby, 1979. Quality is Free. McGraw-Hill, New York, NY, ISBN 0-07-014512-1.Google Scholar
Dromey, R.G., 1995. A model for software product quality. IEEE Trans Softw Eng 21 (2), 146-162. Google ScholarDigital Library
Glib, T., 1997. Quantifying the qualitative: how to avoid vague requirements by clear specification language. Requirenautics Quarterly, British Computer Society, UK, 12, 9-13.Google Scholar
Google Java Style, 2014. Available from: ¿https://google-styleguide.googlecode.com/svn/trunk/javaguide.html¿ (retrieved October 2014).Google Scholar
Grady, R.B., Caswell, D.L, 1987. Software Metrics: Establishing a Company-wide Program. Prentice-Hall, Inc, Upper Saddle River, NJ. Google ScholarDigital Library
ISO/IEC 14598-1, 1459. Information Technology--Evaluation of Software Products--Part 1 General Guide. International Organization for Standardization, Geneva, Switzerland.Google Scholar
ISO/IEC 25010, 2011. Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models. International Organization for Standardization, Geneva, Switzerland.Google Scholar
ISO. ISO/IEC IS 9126, 1991. Software Product Evaluation--Quality Characteristics and Guidelines for their Use. International Organization for Standardization, Geneva, Switzerland.Google Scholar
Jamwal Dr, D., 2010. Analysis of software quality models for organizations. Int J Latest Trends Comput 1 (2), (E-ISSN: 2045-5364) 19.Google Scholar
Kaner, C., Nguyen, H.Q., Falk, J., 1988. Testing Computer Software, second ed. Thomson Computer Press, Boston, MA, ISBN 0-47135-846-0. Google Scholar
Martínez-Lorente, A.R., Dewhurst, F., Dale, B.G., 1998. Total quality management: origins and evolution of the term. The TQM Magazine. MCB University Publishers Ltd, Bingley, UK.Google Scholar
McCabe, 1976. A complexity measure. IEEE Trans Softw Eng, 308-320. Google ScholarDigital Library
McCall, J.A., Richards, P.K., Walters, G.F., 1977. Factors in Software Quality, Volumes I, II, and III. US Rome Air Development Center Reports, US Department of Commerce, USA.Google Scholar
Parmenter, D., 2007. Key Performance Indicators. John Wiley & Sons NJ, ISBN 0-470-09588-1.Google Scholar
Paulk, M.C., Curtis, B., Chrissis, M.B., Averill, E.L., Bamberger, J., Kasse, T.C., et al., 1991. Capability Maturity Model for Software. CMU/SEI-91-TR-24. Carnegie Mellon University, Software Engineering Institute, Pittsburgh, PA.Google Scholar
Royce, W., 1970. Managing the development of large software systems. Proceedings of IEEE WESCON 26 (August), 1-9.Google Scholar
Shewhart, W.A., 1931. Economic Control of Quality of Manufactured Product. D. Van Nostrand Company, New York, NY, ISBN 0-87389-076-0.Google Scholar
Tennant, G., 2001. Six Sigma: SPC and TQM in Manufacturing and Services. Gower Publishing Ltd, Farnham, UK, ISBN 0-566-08374-4.Google Scholar
Wagner, S., 2013. Software Product Quality Control: Chapter 2 Quality Models. Springer, Berlin, Germany, ISBN 978-3-642-38570-4.Google Scholar
Yourdon & Constantine, 1979. Structured Design: Fundamentals of a Discipline of Computer Program and Systems Design. Yourdon Press, Upper Saddle River, NJ, ISBN 0-13-854471-9. Google ScholarDigital Library
Beck, K., Beedle, M., Van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., et al., 2001. Manifesto for Agile Software Development.Google Scholar
Beer, S., 1966. Diagnosing the System for Organisations. John Wiley, London and New York.Google Scholar
Boehm, B.W., 1988. A spiral model of software development and enhancement. Computer 21 (5), 61-72. Google ScholarDigital Library
(CISQ) Consortium for IT Software Quality, 2012. CISQ Specifications for Automated Quality Characteristic Measures. Available from: ¿http://it-cisq.org/wp-content/uploads/2012/09/CISQ-Specification-for-Automated-Quality-Characteristic-Measures.pdf¿.Google Scholar
CMMI-DEV, C.M.M.I., 2010. for Development, Version 1.3. Software Engineering Institute.Google Scholar
Dahl, O.J., Dijkstra, E.W., Hoare, C.A.R., 1972. Structured Programming. Academic Press, London, UK. Google Scholar
Deming, W.E., 2000. Out of the Crisis, First MIT Press Ed. MIT Press, Cambridge, MA.Google Scholar
Floyd, R.W., 1967. Assigning meanings to programs, mathematical aspects of computer science. In: Schwartz, J.T. (Ed.) volume 19 of Proceedings of Symposium on Applied Mathematics, A.M.S.Google Scholar
Fukuda, R., 1997. Building Organizational Fitness: Management Methodology for Transformation and Strategic Advantage. Productivity Press, Portland, OR.Google Scholar
Gérard, B., Georges, G., 1992. The esterel synchronous programming language: design, semantics, implementation. Sci. Comput. Programming 19 (2), 87-152. Google ScholarDigital Library
Hoare, C.A.R., 1969. An Axiomatic Basis for Computer Program. Communications of the ACM 12 (10), 576-580. Google ScholarDigital Library
International Organization for Standardisation. (ISO), 1991. ISO/IEC: 9126 Information technology-Software Product Evaluation-Quality characteristics and guidelines for their use -1991.Google Scholar
International Organization for Standardization. (ISO), 2011. IEC 25010: 2011: Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models.Google Scholar
Kano, N., Searku, N., Takahashi, F., Tsuji, S., 1984. Attractive quality and must be quality. Himshitsu (The Journal of Quality, Japanese Society for Quality Control) 14, 39-48.Google Scholar
Murthy, P.N., 1994. Systems practice in consulting. Syst. Pract. Action Res. 7 (4), 419-438.Google ScholarCross Ref
Murthy, P.N., Sudhir, V., 1999. Multi Modeling Approach to Enterprise Analysis and Modeling. TCS Internal, QMS Guidelines.Google Scholar
Sommerville, I., 2011. Software Engineering, ninth Ed. Addison-Wesley, Boston, MA, p. 29.Google Scholar
Warfield, J.N., 1976. Societal Systems, Planning, Policy and Complexity. Wiley, New York.Google Scholar
Watts, S.H., 1989. Managing the Software Process. Addison Wesley Professional, MA. Google Scholar
Wirth, N., 1972. Systematic Programming: An Introduction. Prentice Hall, NJ, USA. Google ScholarDigital Library
Wirth, N., 1974. Algorithms+Data Structures=Programs. Prentice Hall, NJ, USA. Google Scholar
Zachman, J.A., 1987. A framework for information systems architecture. IBM Syst. J. 26 (3), 276-292. Google ScholarDigital Library
Zope, N., Nori, K., 2008. Process meta-modeling: a design perspective. TCS Internal Technical Report.Google Scholar
Allman, E., 2012. Managing technical debt--shortcuts that save money and time today can cost you down the road. Commun. ACM 55 (5), 50-55. Google ScholarDigital Library
Basili, V.R., 1992. Software Modeling and Measurement: The Goal/Question/Metric Paradigm. University of Maryland at College Park, pp. 1-24. ¿http://drum.lib.umd.edu/bitstream/1903/7538/1/Goal_Question_Metric.pdf¿ (accessed on 10.01.15.).Google Scholar
Bohnet, J., Döllner, J. 2011. Monitoring code quality and development activity by software maps. In: Paper Presented at the Proceedings of the 2nd International Workshop on Managing Technical Debt (MTD'11), Waikiki, Honolulu, HI, USA. Google Scholar
Brown, N., Cai, Y., Guo, Y., Kazman, R., Kim, M., Kruchten, P., et al. 2010. Managing technical debt in software-reliant systems. In: Paper Presented at the Proceedings of the FSE/SDP Workshop on Future of Software Engineering Research (FoSER'10), Santa Fe, New Mexico, USA. Google Scholar
Buschmann, F., 2011. To pay or not to pay technical debt. IEEE Softw. 28 (6), 29-31. Google ScholarDigital Library
Cunningham, W., 1992. The WyCash portfolio management system. In: Paper Presented at the Proceedings of the 7th Object-Oriented Programming Systems, Languages, and Applications (OOPSLA'92), Vancouver, BC, Canada. Google Scholar
Curtis, B., Sappidi, J., Szynkarski, A., 2012. Estimating the size, cost, and types of technical debt. In: Paper Presented at the Proceedings of the 3rd International Workshop on Managing Technical Debt (MTD'12), Zurich, Switzerland. Google Scholar
Eisenberg, R.J., 2012. A threshold based approach to technical debt. SIGSOFT Softw. Eng. Notes 37 (2), 1-6. Google ScholarDigital Library
Falessi, D., Shaw, M.A., Shull, F., Mullen, K., Keymind, M.S., 2013. Practical considerations, challenges, and requirements of tool-support for managing technical debt. In: Paper Presented at the Proceedings of the 4th International Workshop on Managing Technical Debt (MTD'13), San Francisco, CA, USA. Google Scholar
Gat, I., 2012. Technical debt as a meaningful metaphor for code quality. IEEE Softw. 29 (6), 52-54. Google ScholarDigital Library
Gat, I., Heintz, J.D., 2011. From assessment to reduction: how Cutter Consortium helps rein in millions of dollars in technical debt. In: Paper Presented at the Proceedings of the 2nd International Workshop on Managing Technical Debt (MTD'11), Waikiki, Honolulu, HI, USA. Google Scholar
Guo, Y., Seaman, C., 2011. A portfolio approach to technical debt management. In: Paper Presented at the Proceedings of the 2nd International Workshop on Managing Technical Debt (MTD'11), Waikiki, Honolulu, HI, USA. Google Scholar
Holvitie, J., Leppänen, V., 2013. DebtFlag: technical debt management with a development environment integrated tool. In: Paper Presented at the Proceedings of the 4th International Workshop on Managing Technical Debt (MTD'13), San Francisco, CA, USA. Google Scholar
ISO/IEC, 2011. Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models ISO/ IEC 25010:2011, pp. 1-34.Google Scholar
ISO/IEC/IEEE, 2011. Systems and Software Engineering--Architecture Description. ISO/ IEC/IEEE 42010:2011(E) (Revision of ISO/IEC 42010:2007 and IEEE Std 1471-2000), pp. 1-46.Google Scholar
Jansen, A., Bosch, J., 2005. Software architecture as a set of architectural design decisions. In: Paper Presented at the Proceedings of the 5th Working IEEE/IFIP Conference on Software Architecture (WICSA'05), Pittsburgh, PA, USA. Google Scholar
Krishna, V., Basu, A., 2012. Minimizing technical debt: developer's viewpoint. In: Paper Presented at the Proceedings of the International Conference on Software Engineering and Mobile Application Modelling and Development (ICSEMA'12), Chennai, India.Google Scholar
Kruchten, P., Nord, R.L., Ozkaya, I., 2012. Technical debt: from metaphor to theory and practice. IEEE Softw. 29 (6), 18-21. Google ScholarDigital Library
Li, Z., Liang, P., Avgeriou, P., 2014a. Architectural debt management in value-oriented architecting. In: Mistrik, I., Bahsoon, R., Kazman, R., Zhang, Y. (Eds.), Economics-Driven Software Architecture. Elsevier, Waltham, MA, USA, pp. 183-204.Google Scholar
Li, Z., Liang, P., Avgeriou, P., Guelfi, N., Ampatzoglou, A., 2014b. An empirical investigation of modularity metrics for indicating architectural technical debt. In: Paper Presented at the Proceedings of the 10th International Conference on the Quality of Software Architectures (QoSA'14), Marcq-en-Bareul, France. Google Scholar
Li, Z., Avgeriou, P., Liang, P., 2015. A systematic mapping study on technical debt and its management. J. Syst. Softw. 101 (3), 193-220. Google ScholarDigital Library
McConnell, S., 2008. Managing Technical Debt. Construx, pp. 114. ¿http://www.construx.com/uploadedFiles/Construx/Construx_Content/Resources/Documents/Managing%20Technical%20Debt.pdf¿ (accessed on: 10.01.15.).Google Scholar
McGregor, J.D., Monteith, J.Y., Jie, Z., 2012. Technical debt aggregation in ecosystems. In: Paper Presented at the Proceedings of the 3rd International Workshop on Managing Technical Debt (MTD'12), Zurich, Switzerland. Google Scholar
Nugroho, A., Visser, J., Kuipers, T., 2011. An empirical model of technical debt and interest. In: Paper Presented at the Proceedings of the 2nd International Workshop on Managing Technical Debt (MTD'11), Waikiki, Honolulu, HI, USA. Google Scholar
Ozkaya, I., Kruchten, P., Nord, R.L., Brown, N., 2011. Managing technical debt in software development: report on the 2nd International Workshop on Managing Technical Debt, held at ICSE 2011. SIGSOFT Softw. Eng. Notes 36 (5), 33-35. Google ScholarDigital Library
Runeson, P., Höst, M., 2009. Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14 (2), 131-164. Google ScholarDigital Library
Seaman, C., Guo, Y., 2011. Measuring and monitoring technical debt. In: Zelkowitz, M. (Ed.), Advances in Computers, vol. 82. Elsevier, London, UK, pp. 25-45.Google Scholar
Seddon, P.B., Scheepers, R., 2012. Towards the improved treatment of generalization of knowledge claims in IS research: drawing general conclusions from samples. Eur. J. Inf. Syst. 21 (1), 6-21.Google ScholarCross Ref
van Heesch, U., Avgeriou, P., Hilliard, R., 2012. A documentation framework for architecture decisions. J. Syst. Softw. 85 (4), 795-820. Google ScholarDigital Library
Zazworka, N., Spinola, R.O., Vetro', A., Shull, F., Seaman, C. 2013. A case study on effectively identifying technical debt. In: Paper Presented at the Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering (EASE'13), Porto de Galinhas, Brazil. Google Scholar
Alexander, C., 1979. The Timeless Way of Building. Oxford University Press, New York, NY.Google Scholar
Alexander, C., Ishikawa, S, Silverstein, M, Jacobson, M, et al., 1977. A Pattern Language. Oxford University Press, New York, NY.Google Scholar
CMMI for Development, November 2010. Version 1.3 - SEI Digital Library, Publisher: Software Engineering Institute, Carnegie Mellon University. ¿http://www.sei.cmu.edu/reports/10tr033.pdf¿.Google Scholar
Deming, W.E., 2000. Out of the Crisis, First MIT Press ed. MIT Press, Cambridge, MA.Google Scholar
Design Patterns: Elements of Reusable Object-Oriented Software, Pearson Education, USA, 1995. Google Scholar
Gamma, E., Helm, R., Johnson, R., Vlissides, J., 1995. Design Patterns: Elements of Reusable Object-Oriented Software. Addison Wesley. Google ScholarDigital Library
Gharajedaghi, J., 2011. Systems Thinking: Managing Chaos and Complexity, third ed. Elsevier, USA. Google Scholar
ISO/IEC 12207, 2008. Systems and Software Engineering--Software Life Cycle Processes.Google Scholar
ISO/IEC 25010, 2011. Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models.Google Scholar
ISO/IEC/IEEE 24765, 2010. Systems and Software Engineering--Vocabulary.Google Scholar
ISO/IEC TS 30103, 2014. Software and Systems Engineering--Lifecycle Processes-- Framework for Product Quality Achievement.Google Scholar
Jones, C., 2012. Software Quality in 2012: A Survey of the State of the Art. ¿http://sqgne.org/presentations/2012-13/Jones-Sep-2012.pdf¿.Google Scholar
Kan, S.H., 2002. Metrics and Models in Software Quality Engineering. Google Scholar
Kan, S.H., 2003. Metrics and Models in Software Quality Engineering. Pearson Education, USA. Google Scholar
Niklaus W., 1973. Systematic Programming: An Introduction, Prentice-Hall Series in Automatic Computation, USA. Google Scholar
Nistala, P., Kumari, P., 2013. Establishing content traceability for software applications: An approach based on structuring and tracking of configuration elements, "Traceability in Emerging Forms of Software Engineering (TEFSE)", International Workshop, pp. 68-71.Google Scholar
Nistala, P., Priyanka, K., 2013a. An approach to carry out consistency analysis on requirements validating and tracking requirements through a configuration structure. In: Proc. 21st IEEE RE '2013.Google Scholar
Nistala, P., Priyanka, K., 2013b. Establishing content traceability for software applications: an approach based on structuring and tracking of configuration elements. In: Proc. 7th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE), Col-located with ICSE 2013.Google ScholarCross Ref
Nistala, P., Bharadwaj, A., Priyanka, K., 2013. An approach to manage NFRs in agile methodology: expanding product roadmap to include NFR features based on holistic view of product quality. In: Improving Systems and Software Engineering Conference, ISSEC 2013.Google Scholar
Nonaka, I, Takeuchi, H, 1995. The Knowledge Creating Company. Oxford University Press.Google Scholar
Nori, K V Swaminathan, N, 2006. A framework for software product engineering. In: Asia-Pacific Software Engineering Conference. Google Scholar
Ole-Johan Dahl, E.W., Dijkstra, C.A.R., 1972. Hoare, Structured Programming. Academic Press. Google Scholar
Radice, R.A., Roth, N.K., O'Hara Jr, A.C., Ciarfella, W.A., 1985. A programming process architecture. IBM Syst. J. 24 (2), 79-90. Google ScholarDigital Library
Svensson, D., Malmqvist, J., 2002. Strategies for product structure management at manufacturing firms. J. Comput. Inf. Sci. Eng. 2 (1), 50-58.Google ScholarCross Ref
Abran, A., August 21-25 1995. Quality--The intersection of product and process. In: 6th IEEE International Software Engineering Standard Symposium (ISESS'95). Montréal, Canada.Google Scholar
Abran, A., Garbajosa, J., Cheiki, L., November 2007. Estimating the test volume and effort for testing and verification & validation. In: IWSM-MENSURA 2007 Conference. Palma de Mallorca, Spain. ¿http://goo.gl/r90UUG¿.Google Scholar
Abran, A., Al-Sarayreh, K.T., Cuadrado-Gallego, J.J., 2013. A standards-based reference framework for system portability requirements, computer standards and interfaces (CSI). Elsevier 35 (4), 380-395. Google Scholar
Abran, A., Moore, J.W., Bourque, P., Dupuis, R., Tripp, L.T., Guide to the Software Engineering Body of Knowledge (SWEBOK), 2014 Version, IEEE. ¿http://www.computer.org/web/swebok¿. Google Scholar
Axelos Ltd. ITIL (IT Infrastructure Library) v3 Refresh 2011, Core Guides, 2011, UK.Google Scholar
Berga, E., Krogstieb, J., Sandvoldc, O., 1997. Enhancing user participation in system design using groupware tools. In: IRIS20 Conference. Hankø Fjordhotel, Norway, August 9-12.Google Scholar
Boehm, B.W., Brown, J.R., Lipow, H., MacLeod, G.J., Merrit, M.J., 1978. Characteristics of Software Quality. Elsevier, North-Holland.Google Scholar
Brynjolfosson, E., Austin Renshaw, A., van Alstyne, M., The Matrix of Change. Massachusetts Institute of Technology, Cambridge, USA, Working Paper # 189, January 1997. ¿http://goo.gl/Qh1b6Q¿.Google Scholar
Buglione, L., 2012. The Next Frontier: Measuring and Evaluating the NonFunctional Productivity, MetricViews. IFPUG Newsletter 6(2), 11-14. ¿http://goo.gl/nVwdxr¿.Google Scholar
Buglione, L., Abran, A., 1999. Multidimensional software performance measurement models: a tetrahedron-based design. In: Dumke, R., Abran, A. (Eds.), Software Measurement: Current Trends in Research and Practice. Deutscher Universitats Verlag GmbH, Wiesbaden, Germany, pp. 93-107.Google Scholar
Buglione, L., Abran, A., March 22-23, 2001. QF²D: Quality Factor through QFD Application. In: Qualita'01 (4th International Congress on Quality and Reliability), Annecy, France, ISBN 2-9516453-0-0, pp. 34-39.Google Scholar
Buglione, L., Abran, A., ICEBERG: a different look at Software Project Management, IWSM2002 in "Software Measurement and Estimation". In: 12th International Workshop on Software Measurement (IWSM'02). October 79, 2002, Magdeburg (Germany). Shaker Verlag, ISBN 3-8322-0765-1, pp. 153-167.Google Scholar
Chung, L., Nixon, B.A., Yu, E., Myolopoulos, J., 1999. Nonfunctional Requirements in Software Engineering. Springer, ISBN 978-0792386667 ¿http://goo.gl/JCEyPg¿.Google Scholar
CMMI Institute. CMMI-DEV (CMMI for Development) v1.3, Technical Report, CMU/SEI- 2010-TR-033, Software Engineering Institute, USA, November 2010. ¿http://goo.gl/ZqDhy6¿.Google Scholar
Conti, T., 1997. Organizational Self-Assessment. Chapman & Hall, London, UK.Google Scholar
COSMIC, Guideline on managing "Nonfunctional Requirements" for software, v0.23, July 2014. ¿http://cosmic-sizing.org/¿.Google Scholar
Crosby, P.B., 1979. Quality is Free. McGraw-Hill, New York, USA, ISBN 0-451-62585-411.Google Scholar
Crow, K., 2002. Customer-Focused Development with QFD, DRM Associates, Palos Verdes, CA, USA. ¿http://goo.gl/ykYbeM¿.Google Scholar
Daneva, M., 2010. Balancing uncertainty of context in ERP project estimation: an approach and a case study. J. Softw. Maintenance Evol. Res. Pract. 22 (5), 310-335. Google Scholar
Daneva, M., 2011. Uncertain context factors in ERP project estimation are an asset: insights from a semi-replication case study in a financial services firm. Int. J. Software Eng. Knowl. Eng. (IJSEKE) 21 (3), 389-411.Google ScholarCross Ref
Daneva, M., Buglione, L., Herrmann, A., 2013. Software architects' experiences of quality requirements: what we know and what we do not know? In: 19th International Working Conference on Requirements Engineering--Foundation for Software Quality, REFSQ'13, April 8-11, 2013, Essen, Germany, pp. 1-17. Google ScholarDigital Library
Dean, E.B., Quality function deployment for large systems. In: 1992 International Engineering Management Conference, Eatontown, NJ, October 25-28, 1992.Google ScholarCross Ref
Dromey, R.G., 1995. A model for software product quality. IEEE Trans. Software Eng. 21 (2), 146-162. Google ScholarDigital Library
ECSS, Space Engineering--System Engineering: Part 6. Functional and Technical Specifications, European Cooperation for Space Standardization, ECSS-E-10 Part 6A rev.1, October 31, 2005. ¿www.ecss.nl¿.Google Scholar
Erasmus, P., Daneva, M., 2015. ERP services effort estimation strategies based on early requirements. In: 2nd International Workshop on Requirements Engineering for the Pre-contract Phase, REFSQ'15, March 23.Google Scholar
Eriksson I.V., McFadden F., Tiittanen A.M., Improving software development through quality function deployment. In: 5th International Conference on Information Systems Development. ISD'96, Golansk, Poland, September 2426, 1996. ¿http://goo.gl/f5oQSC¿.Google Scholar
Glinz, M., September 2005. Rethinking the notion of nonfunctional requirements, In: Proceedings of the 3rd World Congress on Software Quality (3WCSQ), Munich, Germany. ¿http://goo.gl/ncAxpQ¿.Google Scholar
Grady, R., Caswell, D., 1987. Software Metrics: Establishing a Company-Wide Program. Prentice-Hall, Inco. Upper Saddle River, NJ, USA, ISBN 0138218447. Google ScholarDigital Library
Grimm, J., Denavs, D., Mazur, G., Using QFD to design a multi-disciplinary clinic. In: 23rd Symposium on Quality Function Deployment, December 3, 2011, San Diego, CA. ¿http://goo.gl/g2Cy3e¿.Google Scholar
Guinta, L.R., Praizler, N.C., 1993. The QFD Book: The Team Approach to Solving Problems and Satisfying Customers through Quality Function Deployment. Amacom Books, ASIN 081445139X.Google Scholar
Hauser, J.R., Clausing, D., 1988. The house of quality. Harv. Bus. Rev. 66 (3), 63-73, (May-June).Google Scholar
Haag, S., Raja, M.K., Schkade, L.L., 1996. Quality function deployment: usage in software development. Commun. ACM 39 (1), 41-49. Google ScholarDigital Library
Herrmann, A., Daneva, M. 2008. Requirements prioritization based on benefit and cost prediction: an agenda for future research. In: 16th IEEE International Requirements Engineering Conference (RE'08), September 8-12, 2008, Barcelona, Spain, pp. 125-134. Google ScholarDigital Library
Herzwurm, G., Helferich, A., 2004. Customer-focussed selection and prioritization of common and variable features with quality function deployment. In: 2nd Groningen Workshop on Software Variability Management.Google Scholar
Herzwurm, G., Ahlemeier, G., Schockert, S., Mellis, W., Success factors of QFD projects. In: World Innovation and Strategy Conference, August 35, 1998, Sydney, Australia, pp. 27-41.Google Scholar
Herzwurm, G. Schockert, S., Breidung, M., Dowie, U., Requirements engineering for application development in volatile environments using continuous quality function deployment. In: 2003 International Conference on Software Engineering Research and Practice, Las Vegas, pp. 440-447.Google Scholar
Herzwurm, G., Pelzl, N., Krams, B., QFD and cloud computing: a survey on the prioritization of security requirements for cloud computing. In: Proceedings of the 19th International Symposium on QFD 2013, Santa Fe, NM.Google Scholar
Hrones Jr., J.A., Jedrey Jr., B.C., Zaaf, D., 1993. Defining global requirements with distributed QFD. Digit. Tech. J. 5 (4). Google Scholar
IEEE Std 1061-1992: Standard for a Software Quality Metrics Methodology, 1992.Google Scholar
ISO/IEC 9126, 1991. Information Technology--Software Product Evaluation--Quality Characteristics and Guidelines for their Use. International Organization for Standardization, Geneva.Google Scholar
ISO/IEC JTC1/SC7/WG6, IS 14598-1, 1459. Information Technology--Software Product Evaluation--Part 1: General Overview. International Organization for Standardization, Geneva.Google Scholar
ISO/IEC 9126-1, 9126. Software Engineering Product Quality--Part 1: Quality Model. International Organization for Standardization, Geneva.Google Scholar
ISO 21351:2005. Space Systems--Functional and Technical Specifications. International Organization for Standardization, Geneva.Google Scholar
ISO/IEC 14764:2006, 2006. Maintenance Process. International Organization for Standardization, Geneva.Google Scholar
ISO/IEC 15504-5:2006. Information Technology--Process Assessment--Part 5: An Exemplar Process Assessment Model. International Organization for Standardization, Geneva.Google Scholar
ISO/IEC/IEEE 24765:2010, 2010. Systems and Software Engineering--Vocabulary. International Organization for Standardization, Geneva, ¿http://goo.gl/HDhO3H¿.Google Scholar
ISO/IEC 25010:2011, 2011. Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models. International Organization for Standardization, Geneva.Google Scholar
Kassab, M., Daneva, M., Ormandjieva, O., Scope Management of Nonfunctional Requirements. In: 33th EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO'33), August 2931, 2007, Luebeck, Germany. IEEE Computer Society, pp. 409-417. Google ScholarDigital Library
Kassab, M., Daneva, M., Ormandjieva, O., Towards an early software effort estimation based on functional and nonfunctional requirements. IWSM/Mensura 2009: 182-196. Google Scholar
Lauesen, S., 2002. Software Requirements: Styles and Techniques. Wiley, Addison-Wesley, USA. Google ScholarDigital Library
Li, Y.-L., Chin, K.-S., Luo, X.-G., 2012. Determining the final priority ratings of customer requirements in product planning by MDBM and BSC. Expert Systems with Applications 39 (1), 1243-1255. Google ScholarDigital Library
McCall, J.A., Richards, P.K., Walters, G.F., 1977. Factors in Software Quality, Vol. I, II, III: Final Tech. Report, RADC-TR-77-369, Rome Air Development Center, Air Force System Command, Griffiss Air Force Base, NY.Google Scholar
McConnell, S., 2006. Demystifying the Black Art. Microsoft Press, USA. Google Scholar
Nayar, N., Sharma, T., Bansal, S.K., Saxena, S., November 2013. Implementation of "XP-QFD" in a Small Scale Project. Int. J. Comp. Appl. (0975-8887) 82(10). ¿http://goo.gl/WT6RGL¿.Google Scholar
PMI, Project Management Body of Knowledge (PMBOK), 5th ed., January 2013. ¿www.pmi.org¿.Google Scholar
QFD/CAPTURE homepage. ¿http://www.qfdcapture.com¿.Google Scholar
Richardson, I., October 1997. Quality function deployment: a software process tool? In: 3rd Annual International QFD Symposium, Linkoping, Sweden. ¿http://goo.gl/B5Cnm9¿.Google Scholar
Richardson, I., Using QFD to develop action plans for software process improvement. In: SEPG'98 Conference, April 1998.Google Scholar
SEVOCAB, Software Engineering Vocabulary. ¿http://www.computer.org/sevocab¿.Google Scholar
Standish Group, The CHAOS Manifesto: Think Big, Act Small, 2011. ¿http://goo.gl/0ncjrS¿.Google Scholar
The Matrix of Change (MoC) Homepage. ¿http://ccs.mit.edu/moc/¿.Google Scholar
VV.AA., QFD: The Customer-Driven Approach to Quality Planning and Deployment. In: Mizuno, S., & Akao, Y. (Eds.), APD, 1994.Google Scholar
Zultner, R.E., 1995. Blitz QFD: better, faster and cheaper forms of QFD. Am. Program. 8, 24-36.Google Scholar
Abdeen, H., Ducasse, S., Sahraoui, H., 2011. Modularization metrics: assessing package organization in legacy large object-oriented software. In: 2011 18th Working Conference on Reverse Engineering (WCRE). Google Scholar
Abreu, F. B. e., Carapuça, R., 1994. Object-oriented software engineering: measuring and controlling the development process. In Proceedings of the 4th International Conference on Software Quality, McLean, VA.Google Scholar
Allen, E.B., Khoshgoftaar, T.M., Chen, Y., 2001. Measuring coupling and cohesion of software modules: an information-theory approach. In: Software Metrics Symposium, 2001 (METRICS'01). Proceedings. Seventh International, IEEE. Google ScholarCross Ref
Banker, R.D., Datar, S.M., Kemerer, C.F., 1991. A model to evaluate variables impacting the productivity of software maintenance projects. Manag. Sci. 37 (1), 1-18. Google ScholarDigital Library
Bass, L., Clements, P., Kazman, R., 2012. Software Architecture in Practice. Addison-Wesley, Upper Saddle River, NJ, USA. Google Scholar
Benbasat, I., Goldstein, D.K., Mead, M., 1987. The case research strategy in studies of information systems. MIS Q. 11 (3), 369-386. Google ScholarDigital Library
Bennett, K.H., Rajlich, V.T., 2000. Software maintenance and evolution: a roadmap. In: Proceedings of the Conference on The Future of Software Engineering. Limerick, Ireland, pp. 73-87. Google ScholarDigital Library
Bhattacharya, P., Iliofotou, M., Neamtiu, I., Faloutsos, M., 2012. Graph-based analysis and prediction for software evolution. In: Proceedings of the 34th International Conference on Software Engineering. Zurich, Switzerland. IEEE Press, pp. 419-429. Google Scholar
Black, S., 2001. Computing ripple effect for software maintenance. J. Softw. Maintenance Evol. Res. Pract. 13 (4), 263-279. Google ScholarDigital Library
Buckley, J., LeGear, A.P., Exton, C., Cadogan, R., Johnston, T., Looby, B., et al., 2008. Encapsulating targeted component abstractions using software Reflexion Modelling. J. Softw. Maintenance Evol. Res. Pract. 20 (2), 107-134. Google ScholarDigital Library
Chidamber, S.R., Kemerer, C.F., 1994. A metrics suite for object oriented design. IEEE Trans. Softw. Eng. 20 (6), 476-493. Google ScholarDigital Library
DeMarco, T., 1986. Controlling Software Projects: Management, Measurement, and Estimates. Prentice Hall PTR, Upper Saddle River, NJ, USA. Google Scholar
Ducasse, S., Anquetil, N., Bhatti, M.U., Cavalcante-Hora, A., 2011. Software Metrics for Package Remodularisation. [Research Report] 2011. ¿hal-00646878¿.Google Scholar
Ejiogu, L.O., 1991. Software Engineering with Formal Metrics. QED Information Sciences, Inc. Google Scholar
English, M., Buckley, J., Cahill, T., 2010. A replicated and refined empirical study of the use of friends in C11 software. J. Syst. Softw. 83 (11), 2275-2286. Google ScholarDigital Library
English, M., Cahill, T., Buckley, J., 2012. Construct specific coupling measurement for C++ software. Comput. Lang. Syst. Struct. 38 (4), 300-319. Google ScholarDigital Library
Fenton, N.E., Neil, M., 2000. Software metrics: roadmap. In: Proceedings of the Conference on The Future of Software Engineering. ACM, Limerick, Ireland, pp. 357-370. Google ScholarDigital Library
Fenton, N.E., Pfleeger, S.L., 1998. Software Metrics: A Rigorous and Practical Approach. PWS Publishing Co, Boston, MA, USA. Google ScholarDigital Library
Gaffney, J.E. Jr. 1981. Metrics in software quality assurance. In: Proceedings of the ACM'81 Conference. B. Levy, pp. 126-130. Google Scholar
Gamma, E., Helm, R., Johnson, R., Vlissides, J., 1995. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley, Longman Publishing Co., Inc., Boston, MA, USA. Google ScholarDigital Library
Harrison, R., Counsell, S.J., Nithi, R.V., 1998. An evaluation of the MOOD set of object-oriented software metrics. IEEE Trans. Softw. Eng. 24 (6), 491-496. Google ScholarDigital Library
IEEE, 1983. IEEE Std. 729-1983 Standard Glossary of Software Engineering Terminology (ANSI).Google Scholar
ISO/IEC, 2010. ISO/IEC 25010--Systems and Software Engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models, ISO/IEC.Google Scholar
Jordan, H., Rosik, J., Herold, S., Botterweck, G., Buckley, J., 2015. Manually Locating Features in Industrial Source Code: The Search Actions of Software Nomads. In: Lucia, A.D., Bird, C., Oliveto, R. (Eds.), International Conference on Program Comprehension. IEEE, Florence, Italy. Google Scholar
Kemerer, C., 1995. Software complexity and software maintenance: a survey of empirical research. Ann. Softw. Eng. 1 (1), 1-22.Google ScholarCross Ref
Kemerer, C., Slaughter, S., 1997. Methodologies for performing empirical studies: report from the international workshop on empirical studies of software maintenance. Empir. Softw. Eng. 2 (2), 109-118. Google ScholarCross Ref
Klein, H.K., Myers, M.D., 1999. A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Q. 23 (1), 67-93. Google ScholarDigital Library
Lehman, M.M., 1980. Programs, life cycles, and laws of software evolution. Proc. IEEE 68 (9), 1060-1076.Google ScholarCross Ref
Lethbridge, T., Sim, S., Singer, J., 2005. Studying software engineers: data collection techniques for software field studies. Empir. Softw. Eng. 10 (3), 311-341. Google ScholarDigital Library
Martin, R., 2005. The Tipping Point: Stability and Instability in OO Design. Available from: ¿http://www.drdobbs.com/the-tipping-point-stability-and-instabil/184415285¿ (retrieved 10.03.15.).Google Scholar
Martin, R.C., 2000. Design Principles and Design Patterns. Available from: ¿http://www.objectmentor.com/resources/articles/Principles_and_Patterns.pdf¿ (retrieved 10.03.15).Google Scholar
Mitchell, B.S., Mancoridis, S., 2006. On the automatic modularization of software systems using the bunch tool. IEEE Trans. Softw. Eng. 32 (3), 193-208. Google ScholarDigital Library
Olague, H.M., Etzkorn, L.H., Messimer, S.L., Delugach, H.S., 2008. An empirical validation of object-oriented class complexity metrics and their ability to predict error-prone classes in highly iterative, or agile, software: a case study. J. Softw. Maintenance Evol. Res. Pract. 20 (3), 171-197. Google ScholarDigital Library
Parnas, D.L., 1972. On the criteria to be used in decomposing systems into modules. Commun. ACM 15 (12), 1053-1058. Google ScholarDigital Library
Parnas, D.L., 1977. Use of Abstract Interfaces in the Development of Software for Embedded Computer Systems, p. 34.Google Scholar
Ponisio, L., Nierstrasz, O., 2006. Using Context Information to Re-architect a System. In: SMEF'06, Software Measurement European Forum, pp. 91-103.Google Scholar
Rahman, F., Devanbu, P., 2013. How, and why, process metrics are better. In: Proceedings of the 2013 International Conference on Software Engineering. San Francisco, CA. IEEE Press, pp. 432-441. Google Scholar
Robson, C., 2002. Real World Research. Blackwell.Google Scholar
Runeson, P., Höst, M., 2009. Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14 (2), 131-164. Google ScholarDigital Library
Sant'Anna, C., Figueiredo, E., Garcia, A., Lucena, C.P., 2007. On the modularity of software architectures: a concern-driven measurement framework. In: Software Architecture. F. Oquendo. Springer, Berlin Heidelberg, vol. 4758, pp. 207-224. Google Scholar
Sarkar, S., Kak, A.C., Rama, G.M., 2008. Metrics for measuring the quality of modularization of large-scaled object-oriented software. IEEE Trans. Softw. Eng. 34 (5), 700-720. Google ScholarCross Ref
Sarkar, S., Rama, G.M., Kak, A.C., 2007. API-based and information-theoretic metrics for measuring the quality of software modularization. IEEE Trans. Softw. Eng. 33 (1), 14-32. Google ScholarDigital Library
Schneidewind, N.F., 1987. The state of software maintenance. IEEE Trans. Softw. Eng. 13 (3), 303-310. Google ScholarDigital Library
Scitools, 2015. Understand. Available from: ¿https://scitools.com/¿ (retrieved 10.03.15.).Google Scholar
Sharif, K.Y., English, M., Ali, N., Exton, C., Collins, J.J., Buckley, J., 2015. An empirically-based characterization and quantification of information seeking through mailing lists during Open Source developers' software evolution. Inf. Softw. Technol. 57 (0), 77-94.Google ScholarCross Ref
Slaughter, S.A., Harter, D.E., Krishnan, M.S., 1998. Evaluating the cost of software quality. Commun. ACM 41, 67-73. Google ScholarDigital Library
Stake, R.E., Savolainen, R., 1995. The Art of Case Study Research. Sage Publications, Thousand Oaks, CA.Google Scholar
Stevens, W.P., Myers, G.J., Constantine, L.L., 1974. Structured design. IBM Syst. J. 13 (2), 115-139. Google ScholarDigital Library
Szyperski, C., Gruntz, D., Murer, S., 2002. Component Software: Beyond Object-Oriented Programming. Addison-Wesley, Longman Publishing Co., Inc., Boston, MA, USA. Google ScholarDigital Library
Misic, V.B., 2001. Cohesion is structural, coherence is functional: different views, different measures. In: Software Metrics Symposium, 2001 (METRICS'01). Proceedings. Seventh International. Google ScholarCross Ref
Yin, R.K., 2013. Case Study Research: Design and Methods. SAGE Publications, Thousand Oaks, CA.Google Scholar
Yourdon, E., Constantine, L.L., 1979. Structured Design. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar
Zelkowitz, M.V., Wallace, D.R., 1998. Experimental models for validating technology. Computer 31 (5), 23-31. Google ScholarDigital Library
Alexander, C., Ishikawa, S., Silverstein, M., 1977. A Pattern Language: Towns, Buildings, Construction, vol. 2. Oxford University Press.Google Scholar
Alur, D., Malks, D., Crupi, J., 2001. Core J2EE Patterns: Best Practices and Design Strategies. Prentice Hall PTR, Upper Saddle River, NJ. Google Scholar
Aniche, M., Ferreira, T., Gerosa, M., 2011. What concerns beginner test-driven development practitioners: a qualitative analysis of opinions in an Agile conference. 2nd Brazilian Workshop on Agile Methods (WBMA), Fortaleza, Brazil.Google Scholar
Aniche, M.F., Gerosa, M.A., 2012. How the practice of TDD influences class design in object-oriented systems: patterns of unit tests feedback. In: Software Engineering (SBES), 2012 26th Brazilian Symposium on, IEEE. pp. 1-10. Google Scholar
Astels, D., 2003. Test-Driven Development: A Practical Guide, segunda ed. Prentice Hall. Google Scholar
Beck, K., 2002. Test-Driven Development by Example, first ed. Addison-Wesley Professional. Google Scholar
Beck, K., 2004. Extreme Programming Explained, second ed. Addison-Wesley Professional. Google Scholar
Dogsa, T., Batic, D., 2011. The effectiveness of test-driven development: an industrial case study. Softw. Qual. J.1-19, ¿http://dx.doi.org/10.1007/s11219-011-9130-2¿. Google Scholar
e Nat Pryce, S.F., 2009. Growing Object-Oriented Software, Guided by Tests, 1st ed. Addison-Wesley Professional. Google Scholar
Erdogmus, H., Morisio, M., Torchiano, M., 2005. On the effectiveness of the test-first approach to programming. IEEE Trans. Softw. Eng. 31, 226-237, ¿http://doi.ieeecomputersociety.org/10.1109/TSE.2005.37¿. Google ScholarDigital Library
Evans, 2003. Domain-Driven Design: Tacking Complexity in the Heart of Software. Addison-Wesley Longman Publishing Co., Inc., Boston, MA. Google Scholar
Fairbanks, G., 2010. Just Enough Software Architecture: A Risk-Driven Approach. Marshall & Brainerd.Google Scholar
Fowler, M., 1999. Refactoring: Improving the Design of Existing Code. Addison-Wesley Longman Publishing Co., Inc., Boston, MA. Google ScholarDigital Library
Fowler, M., 2002. Patterns of Enterprise Application Architecture. Addison-Wesley Longman Publishing Co., Inc., Boston, MA. Google Scholar
Fowler, M., 2007. Mocks aren't stubs. ¿http://martinfowler.com/articles/mocksArentStubs¿ (last accessed 26.11.14.).Google Scholar
Freeman, S., Mackinnon, T., Pryce, N., Walnes, J., 2004. Mock roles, objects. In: Companion to the 19th Annual ACM SIG-PLAN Conference on Object-oriented Programming Systems, Languages, and Applications. ACM, New York, NY, pp. 236-246. ¿http://dx.doi.org/10.1145/1028664.1028765¿. Google Scholar
Gamma, E., Helm, R., Johnson, R., Vlissides, J., 1995. Design Patterns: Elements of Reusable Object-oriented Software. Addison-Wesley Longman Publishing Co., Inc., Boston, MA. Google ScholarDigital Library
George, B., Williams, L., 2003. An initial investigation of test driven development in industry. In: Proceedings of the 2003 ACM Symposium on Applied Computing. ACM, New York, NY, pp. 1135-1139. ¿http://doi.acm.org/10.1145/952532.952753¿. Google Scholar
Guerra, E., 2014. Designing a framework with test-driven development: a journey. Softw. IEEE 31 (1), 9-14. Available from: http://dx.doi.org/10.1109/MS.2014.3. Google ScholarDigital Library
Guerra, E.M., Kinoshita, B., 2012. Patterns for introducing a superclass for test classes. In: Proceedings of the 9th Latin American Conference on Pattern Languages of Programming. ACM, New York, NY. Google Scholar
Guerra, E.M., Yoder, J., Aniche, M., Gerosa, M.A., 2013. Test-driven development step patterns for handling objects dependencies. In: Proceedings of the 20th Conference on Pattern Languages of Programs. ACM, New York, NY. Google Scholar
Guerra, E.M., Aniche, M., Gerosa, M.A., Yoder, J., 2014. Patterns for preparing for a test driven development session. In: Proceedings of the 21th Conference on Pattern Languages of Programs. ACM, New York, NY. Google Scholar
Janzen, D., Saiedian, H., 2006. On the influence of test-driven development on software design. Proceedings of the 19th Conference on Software Engineering Education and Training (CSEET'06). Hawaii, US. pp. 141-148. Google Scholar
Janzen, D.S., 2005. Software architecture improvement through test-driven development. In: Companion to the 20th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications. ACM, New York, NY, pp. 240-241. ¿http://doi.acm.org/10.1145/1094855.1094954¿. Google Scholar
Kerievsky, J., 2004. Refactoring to Patterns. Pearson Higher Education. Google Scholar
Landre, E., Wesenberg, H., Olmheim, J., 2007. Agile enterprise software development using domain-driven design and test first. In: Companion to the 22nd ACM SIGPLAN Conference on Object-Oriented Programming Systems and Applications Companion. ACM, New York, NY, pp. 983-993. ¿http://dx.doi.org/10.1145/1297846.1297967¿. Google Scholar
Langr, J., 2001. Evolution of test and code via test-first design. ¿http://www.objectmentor.com¿ (last accessed 01.03.11.).Google Scholar
Lanza, M., Marinescu, R., Ducasse, S., 2005. Object-Oriented Metrics in Practice. Springer-Verlag New York, Inc., Secaucus, NJ. Google Scholar
Li, A.L., 2009. Understanding the Efficacy of Test Driven Development. Master's Thesis, Auckland University of Technology.Google Scholar
Mackinnon, T., Craig, P., Freeman, S., 2001. Endotesting: unit testing with mock objects. In: Succi, G., Marchesi, M. (Eds.), Extreme Programming Examined. Addison-Wesley Longman Publishing Co., pp. 287-301. Google Scholar
Madeyski, L., 2006. The impact of pair programming and test-driven development on package dependencies in object-oriented design--an experiment. In: Munch, J., Vierimaa, M. (Eds.), Product-Focused Software Process Improvement, Lecture Notes in Computer Science, vol. 4034. Springer, Berlin/Heidelberg, pp. 278-289. Google Scholar
Martin, R.C., 2002. Agile Software Development, Principles, Patterns, and Practices, primeira ed. Prentice Hall. Google Scholar
Merson P. (2013) Ultimate architecture enforcement: custom checks enforced at code-commit time. Hosking A.L., Eugster P.T. SPLASH (Companion Volume), ACM, 153-160, ¿http://dblp.uni-trier.de/db/conf/oopsla/splash2013c.html#Merson13¿. Google Scholar
Merson, P., Yoder, J., Guerra, E., Aguiar, A., 2013. Continuous inspection--a pattern for keeping your code healthy and aligned to the architecture. In: Proceedings of the 3rd Asian Conference on Pattern Languages of Programs. ACM, New York, NY.Google Scholar
Meszaros, G., 2006. XUnit Test Patterns: Refactoring Test Code. Prentice Hall PTR, Upper Saddle River, NJ. Google Scholar
Muller, M., Hagner, O., 2002. Experiment about test-first programming. Softw. IEEE Proc 149 (5), 131-136. Available from: http://dx.doi.org/10.1049/ip-sen:20020540.Google ScholarCross Ref
Siniaalto, M., Abrahamsson, P., 2008. Does test-driven development improve the program code? Alarming results from a comparative case study. Balancing Agility and Formalism in Software Engineering. Springer, Berlin Heidelberg, pp. 143-156. Google Scholar
Steinberg, D.H., 2001. The Effect of Unit Tests on Entry Points, Coupling and Cohesion in an Introductory Java Programming Course. XP Universe.Google Scholar
Babar, M.A., Zhu, L., Jeffery, R., 2004. A framework for classifying and comparing software architecture evaluation methods. Proc. Australian Software Engineering Conference, 309-318. Google Scholar
Browning, T., 2001. Applying the design structure matrix to system decomposition and integration problems: a review and new directions. In: IEEE Trans. on Engineering Management, vol. 48. ACM Press, New York, NY, USA, pp. 292-306.Google Scholar
Clements, P., Bachmann, F., Bass, L., Garlan, D., Ivers, J., Little, R., et al., 2010. Documenting Software Architectures: Views and Beyond, second ed. Boston, MA, Addison-Wesley. Google Scholar
Danilovic, M., Sandkull, B., 2005. The use of dependency structure matrix and domain mapping matrix in managing uncertainty in multiple project situations. Int. J. Proj. Manage. 3, 193-203.Google ScholarCross Ref
Demirli, E., Tekinerdogan, B., 2011. Software language engineering of architectural viewpoints. In: Proc. of the 5th European Conference on Software Architecture (ECSA 2011), LNCS 6903, pp. 336-343. Google ScholarCross Ref
ISO/IEC 42010:2007, 2011. Recommended Practice for Architectural Description of Software-Intensive Systems (ISO/IEC 42010).Google Scholar
Knodel, J., Popescu, D., 2007. A comparison of static architecture compliance checking approaches. In: Proceedings of the 6th Working IEEE/IFIP Conference on Software Architecture, Mumbai, India, p. 12. Google Scholar
Koschke, R., Simon, D., 2003. Hierarchical reflexion models. In: Proceedings of the 10th Working Conference on Reverse Engineering, VIC, Canada. Google Scholar
Murphy, G., Notkin, D., Sullivan, K., 2001. Software reflexion models: bridging the gap between design and implementation. IEEE Trans. Softw. Eng. 27 (4), 364-380. Google ScholarDigital Library
Rosik, J., Le Gear, A., Buckley, J., Babar, M.A., Connolly, D., 2011. Assessing architectural drift in commercial software development: a case study. Softw. Pract. Exp. 41 (1), 63-86. Google ScholarDigital Library
Sangal, N., Jordan, E., Sinha, V., Jackson, D. 2005. Using Dependency Models to Manage Complex Software Architecture. In: OOPSLA '05, New York, NY, USA, pp. 167-176. Google Scholar
Tekinerdogan, B., Demirli, E., 2013. Evaluation framework for software architecture viewpoint languages. In: Proc. of 9th Int. ACM Sigsoft Conference on the Quality of Software Architectures Conference, Vancouver, Canada, June 17-21. Google Scholar
Azevedo, L.S., Parker, D., Walker, M., Papadopoulos, Y., Araujo, R.E., 2013. Automatic decomposition of safety integrity levels: optimization by tabu search. In: Workshop CARS (2nd Workshop on Critical Automotive Applications: Robustness & Safety) of the 32nd International Conference on Computer Safety, Reliability and Security, Toulouse, France.Google Scholar
Azevedo, L.S., Parker, D., Walker, M., Papadopoulos, Y., Araujo, R.E., 2014. Assisted assignment of automotive safety requirements. IEEE Software 31 (1), 62-68. Available from: http://dx.doi.org/10.1109/MS.2013.118. Google ScholarDigital Library
Bieber, P., Delmas, R., Seguin, C., 2011. DALculus--Theory and tool for development assurance level allocation. In: Proceedings of the 30th International Conference on Computer Safety, Reliability and Security, Naples, Italy. Springer, Berlin, Heidelberg, pp. 43-56. Google Scholar
Capelle, T.V., Houtermans, M.J., 2006. Functional Safety: A Practical Approach to End-Users and System Integrators. HIMA Paul Hildebrandt GmbH Co. KG, Germany. Available from: ¿https://www.researchgate.net/publication/228620983_Functional_safety_a_practical_approach_for_end-users_and_system_integrators¿ (retrieved 8.2.14.).Google Scholar
EUROCAE, 2010. ED-79A--Guidelines for development of civil aircraft and system. In: EUROCAE (retrieved 2014).Google Scholar
Glover, F., 1986. Future paths for integer programming and links to artificial intelligence. Comput. Oper. Res. 13 (5), 533-549. Google ScholarDigital Library
Nordhoff, S., n.d. DO-178C/ED-12C--The New Software Standard for the Avionic Industry: Goals, Changes and Challenges. Available from: ¿www.sqs.com/uk/_download/DO-178C_ED-12C.pdf¿.Google Scholar
Papadopoulos, Y., Walker, M., Parker, D., Rude, E., Hamann, R., Uhlig, A., et al., 2011. Engineering failure analysis and design optimisation with HiP-HOPS. Eng. Fail. Anal., 590-608.Google ScholarCross Ref
SC 65-A, 2010. IEC61508--Functional Safety of Electrical/Electronic/Programmable Electronic Safety-Related Systems. International Electrotechnical Commission, Geneva, Switzerland.Google Scholar
SC-167, 1992. DO-178B--Software Considerations in Airborne Systems and Equipment Certification, first ed. RTCA Inc.Google Scholar
Sharvia, S., Papadopoulos, Y., 2011. IACoB-SA: an approach towards integrated safety assessment. In: IEEE International Conference on Automation Science and Engineering. IEEE, Trieste, Italy, pp. 220-225.Google Scholar
S-18, SAE, 2010. ARP4754-A guidelines for development of civil aircraft and systems. SAE Int. Available from: ¿http://standards.sae.org/arp4754a/¿ (retrieved 2013).Google Scholar
TC 22/SC3, 2011. ISO 26262--Road Vehicles--Functional Safety. International Organization for Standardization.Google Scholar
Adachi, M., Papadopoulos, Y., Sharvia, S., Parker, D., Tohdo, T., 2011. An approach to optimisation of fault tolerant architecture using HiP-HOPS. Softw. Pract. Exp. 41 (11), 1202-1327. Google ScholarDigital Library
Adler, R., Domis, D., Hofig, K., Kemmann, S., Kuhn, T., Schwinn, J., et al. 2011. Integration of component fault trees into the UML. In: Workshops and Symposia at MODELS, pp. 312-327. Google Scholar
Aizpurua, J.I., Muxika, E., 2012. Design of dependable systems: an overview of analysis and verification approaches. In: DEPEND'12: Fifth International Conference on Dependability. IARIA, pp. 4-12.Google Scholar
Aizpurua, J., Muxika, E., 2013. Model-based design of dependable systems: limitation and evolution of analysis and verification approaches. Int. J. Adv. Sec. 6 (1&2), 12-13.Google Scholar
Akerlund, O., Bieber, P., 2006. ISAAC, a framework for integrated safety analysis of functional, geometrical, and human aspects. In: 3rd European Congress on Embedded Real Time System (ERTS), Toulouse, France.Google Scholar
Aleti, A., Bjornander, S., Grunske, L., & Meedeniya, I., 2009. ArcheOpterix: an extendable tool for architecture optimization of AADL models. In: MOMPES'09, Vancouver, Canada. Google Scholar
Arnold, A., Point, G., Griffault, A., Rauzy, A., 2000. The Altarrica formalism for describing concurrent system. Fundamenta Informaticae 40 (2), 109-124. Google Scholar
Azevedo, L., Parker, D., Walker, M., Papadopoulos, Y., Araujo, R., 2013. Assisted assignment of automotive safety requirements. IEEE Softw. 31 (1), 62-68. Google ScholarDigital Library
Batteux, M., Prosvirnova, T., Rauzy, A., Kloul, L., 2013. The AltaRica 3.0 Project for Model-Based Safety Assessment. INDIN. 741-746.Google Scholar
Berthomieu, B., Bodeveix, B., Farail, M., Garavel, H., Gaufillet, P., Lang, F., et al. 2008. Fiarce: an intermediate language for model verification in topcased environment. In: ERTS'08.Google Scholar
Bieber, P., Castel, C., Seguin, C., 2002. Combination of fault tree analysis and model checking for safety assessment of complex system. In: Proceedings of the 4th European Depting Conference on Dependable Computing, pp. 19-31. Google Scholar
Boiteau, M., Dutuit, Y., Rauzy, A., Signoret, J., 2006. The AltarRica dataflow language in use: modeling of production availability of a multi-state system. Reliab. Eng. Syst. Saf. 91 (7), 747-755.Google ScholarCross Ref
Bouissou, M., 2007. A generalization of dynamic fault trees through Boolean Logic Driven Markov Processes (BDMP). In: Proc. ESREL'07, pp. 1051-1058.Google Scholar
Bozzano, M., Villafiorita, A., 2003. Improving system reliability via model checking: the FSAP/NuSMV-SA safety analysis platform. In: International Conference on Computer Safety, Reliability, and Security, Edinburgh. pp. 49-62.Google Scholar
Bozzano, M., Villafiorita, A., et al., 2003. ESACS: an integrated methodology for design and safety analysis of complex systems. In: ESREL '03.Google Scholar
Bozzano, M., Cimatti, A., Katoen, J., Nguyen, V., Noll, T., Roveri, M., 2011. Safety, dependability, and performance analysis of extended AADL models. Comput. J. 54 (5), 754-775. Google ScholarDigital Library
Chen, D.-J., Mahmud, N., Walker, M., Feng, L., Lonn, H., Papadopoulos, Y., 2013. Systems modeling with EAST-ADL for fault tree analysis through HiP-HOPS. In: 4th IFAC Workshop on Dependable Control of Discrete Systems. 4 (1), 91-96.Google Scholar
COMPASS, 2013. Correctness, Modeling, and Performance of Aerospace Systems. Retrieved from ¿www.compass.informatik.rwth-aachen.de¿.Google Scholar
Distefano, S., Puliafito, A., 2007. Dynamic reliability block diagram VS dynamic fault trees. In: Proceedings of Reliability Availability Maintainability Safety 2007, pp. 71-76. Google Scholar
Dugan, J., Bavuso, S., Boyd, M., 1992. Dynamic fault tree models for fault tolerant computer systems. IEEE Trans. Reliabil. 41 (3), 363-377.Google ScholarCross Ref
Edifor, E., Walker, M., Gordon, N., 2012. Quantification of priority-OR gates in temporal fault trees. Comput. Saf. Reliabil. Secur. SE, 99-110. Google Scholar
Edifor, E., Walker, M., Gordon, N., Papadopoulos, Y., 2014. Using simulation to evaluate dynamic systems with weibull or lognormal distributions. In: Proceedings of the 9th International Conference on Dependability and Complex Systems, pp. 177-187.Google Scholar
ESSaRel, 2005. Embedded Systems Safety and Reliability Analyser. Available from: ¿http://essarel.de¿ (retrieved 3.9.14.).Google Scholar
Feiler, P., Rugina, A., 2007. Dependability Modeling with the Architecture Analysis & Design Language (AADL). Tech. Rep. Software Engineering Institute, Carnegie Mellon University, Pittsburgh, US.Google Scholar
Feiler, P., Gluch, D., Hudak, J., 2006. The Architecture Analysis & Design Language (AADL): An Introduction. Tech. Rep. Software Engineering Institute, Carnegie Mellon University, Pittsburgh, US.Google Scholar
Fenelon, P., McDermid, J., 1993. An integrated toolset for software safety analysis. J. Syst. Softw. 21 (3), 279-290. Google ScholarDigital Library
Fussel, J., Aber, E., Rahl, R., 1976. On the quantitative analysis of Priority-AND failure logic. IEEE Trans. Reliabil R-25 (5), 324-326.Google ScholarCross Ref
Gallina, B., Punnekkat, S., 2014. A formalism for incompletion, inconsistency, interference and impermanence failures' analysis. In: Proceedings of the 37th EUROMICRO Conference on Software Engineering and Advanced Applications, pp. 493-500. Google Scholar
Ge, X., Paige, R., McDermid, J., 2009. Probabilistic failure propagation and transformation analysis. In: International Conference on Computer Safety, Reliability, and Security (SAFECOM), pp. 215-228. Google Scholar
German, R., Mitzlaff, J., 1995. Transient analysis of deterministic and stochastic Petri Nets with TimeNET. In: Proceedings of the 8th International Conference on Computer Performance Evaluation, Modeling Techniques, and Tools and MMB, pp. 209-223. Google Scholar
Grunske, L., Kaiser, B., Papadopoulos, Y., 2005. Model-driven safety evaluation with state-event-based component failure annotations. In: 8th international conference on Component-Based Software Engineering (CBSE'05), pp. 33-48. Google Scholar
Güdemann, M., Ortmeier, F., 2010. A framework for qualitative and quantitative formal model-based safety analysis. In: Proceedings of the 12th International Symposium on High-Assurance System Engineering (HASE), pp. 132-141. Google Scholar
Güdemann, M., Ortmeier, F., 2011. Towards model-driven safety analysis. In: 3rd International Workshop on Dependable Control of Discrete Systems (DCDS), pp. 53-58.Google Scholar
Güdemann, M., Ortmeier, F., Reif, W., 2008. Computation of ordered minimal critical sets. In: Proceedings of the 7th Symposium in Computer Safety, Reliability, and Security.Google Scholar
Güdemann, M., Lipaczewski, M., Struck, S., Ortmeier, F., 2012. Unifying Probabilistic and Traditional Formal Model Based Analysis. In: MBEES'12.Google Scholar
Helmer, G., Wong, J., Slagell, M., Honavar, V., Miller, L., Wang, Y., Wang, X., Stakhanova, N., 2007. Software fault tree and coloured Petri net -- based specification, design and implementation of agent-based intrusion detection systems. Int. J. Info. Comput. Secur. 1 (1), 109-142. Google ScholarDigital Library
Hura, G., Atwood, J., 1988. The use of Petri Nets to analyze coherent fault trees. IEEE Trans. Reliabil. 37 (5), 469-474.Google ScholarCross Ref
Joshi, A., Vestal, S., Binns, P., 2007. Automatic generation of static fault trees from AADL models. In: DSN Workshop on Architecting Dependable Systems.Google Scholar
Kaiser, B., Liggesmeyer, P., Mackel, O., 2003. A new component concept for fault trees. In: Proceedings for the 8th Australian Workshop on Safety Critical Systems and Software (SCS'03). vol. 33, pp. 37-46. Google Scholar
Kwiatkowska, M., Norman, G., Parker, D., 2011. PRISM 4.0: verification of probabilistic real-time systems. In: Proceedings of the 23rd International Conference on Computer Aided Verification (CAV'11), pp. 585-591. Google Scholar
Lipaczewski, M., Struck, S., Ortmeier, F., 2012. SAML goes eclipse--Combining model-based safety analysis and high-level editor support. In Proceedings of the 2nd International Workshop on Developing Tools as Plug-Ins (TOPI), pp. 67-72. Google Scholar
Lisagor, O., Kelly, T., Niu, R., 2011. Model-Based Safety Assessment: Review of Discipline and its Challenges. In: 9th International Conference on Reliability, Maintainability and Safety (ICRMS), pp. 625-632.Google Scholar
Marsan, M., Chiola, G., 1987. On Petri nets with deterministic and exponentially distributed firing times. In: Advances in Petri Nets, 266, pp. 132-145. Google Scholar
Merle, G., Roussel, J., Lesage, J., Bobbio, A., 2010. Probabilistic algebraic analysis of fault trees with priority dynamic gates and repeated events. IEEE Trans. Reliabil. 59 (1), 250-261.Google ScholarCross Ref
Mian, Z., Bottaci, L., Papadopoulos, Y., Sharvia, S., Mahmud, N., 2014. Model transformation for multi-objective architecture optimization of dependable systems. In: Dependability Problems of Complex Information Systems, 91-110.Google Scholar
Niu, R., Tang, T., Lisagor, O., McDermid, J. A., 2011. Automatic safety analysis of networked control system based on failure propagation model. In: IEEE International Conference on Vehicular Electronics and Safety, pp. 53-58.Google Scholar
Ortmeier, F., Reif, W., Schellhorn, G., 2005. Deductive cause-consequence analysis. In: Proceedings of the 6th IFAC World Congress, pp. 1434-1439.Google Scholar
Paige, R., Rose, L., Ge, X., Kolovos, D., Brooke, P. J., 2008. FPTC: automated safety analysis for domain specific languages. In: Proceedings of Workshop on Non Functional System Properties in Domain Specific Modeling Languages, pp. 229-242.Google Scholar
Papadopoulos, Y., Maruhn, M., 2001. Model-based synthesis of fault trees from matlab simulink models. In: International Conference on Dependable Systems and Networks (DSN), pp. 77-82. Google Scholar
Papadopoulos, Y., McDermid, J., 1999. Hierarchically performed hazard origin and propagation studies. In: International Conference on Computer Safety, Reliability and Security, pp. 139-152. Google Scholar
Papadopoulos, Y., Nggada, S., Parker, D., 2010. Extending HiP-HOPS with Capabilities of Planning Preventative Maintenance, Strategic Advantage of Computing Information Systems in Enterprise Management, editiors. Majid Sarrafzadeh Volume containing revised selected papers from International Conference in Computer Systems and Information Systems 2009-2010, pp. 231-245, ISBN: 978-960-6672-93-4.Google Scholar
Papadopoulos, Y., Walker, M., Parker, D., Rude, E., Hamman, R., Uhlig, A., et al., 2011. Engineering failure analysis & design optimization with HiP-HOPS. J. Eng. Fail. Anal 18 (2), 590-608.Google ScholarCross Ref
Point, G., Rauzy, A., 1999. AltaRica: constraint automata as a description language. Eur. J. Autom. 33 (8-9), 1033-1052.Google Scholar
Rao, K., Durga, V., Gopika, V., Sanyasi, R., Kushawa, H., Verma, A., et al., 2009. Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliabil. Eng. Syst. Saf. 94 (4), 872-883.Google ScholarCross Ref
Robidoux, R., Lu, H., Xing, L., Zhou, M., 2010. Automated modeling of dynamic reliability block diagrams using coloured Petri Nets. IEEE Trans. Syst. Man, Cybernatics 40 (2), 337-351. Google ScholarDigital Library
Rugina, A., Kanoun, K., Kaaniche, M., 2007. A system dependability modeling framework using AADL and GSPNs. In: Architecting Dependable Systems IV, pp. 14-38. Google Scholar
Sharvia, S., Papadopoulos, Y., 2011. IACoB-SA: an approach towards integrated safety assessment. In: Proceedings of 7th IEEE International Conference on Automation Science and Engineering, Trieste, Italy. pp. 220-225.Google Scholar
Sharvia, S., Papadopoulos, Y., Walker, M., Chen, D., Lonn, H., 2014. Enhancing the EAST-ADL error model with HiP-HOPS semantics. In: Athens ATINER Conference Paper Series.Google Scholar
Steiner, M., Keller, P., Liggesmeyer, P., 2012. Modeling the effects of software on safety and reliability in complex embedded systems. Comput. Saf. Reliabil. Secur., 454-465. Google ScholarDigital Library
TOPCASED, 2013. The Open Source Toolkit for Critical System. Available from: ¿www.topcased.org¿ (retrieved 9.11.14.).Google Scholar
US Department of Defense, 1980. Procedures of Performing a Failure mode, Effects, and Criticality Analysis. Washington, DC.Google Scholar
Vesely, W., Dugan, J., Fragola, J., Minarick, J., Railsback, J., 2002. Fault Tree Handbook with Aerospace Applications. Tech. rep., NASA office of safety and mission assurance, Washington, DC.Google Scholar
Villemeur, A., 1991. Reliability, Availability, Maintainability and Safety Assessment: Methods and Techniques. John Wiley & Sons, Chichester.Google Scholar
Walker, M., 2009. Pandora: A Logic for the Qualitative Analysis of Temporal Fault Trees PhD Thesis. University of Hull.Google Scholar
Walker, M., Bottaci, L., Papadopoulos, Y., 2007. Compositional temporal fault tree analysis. In: Proceedings of the 26th International Conference on Computer Safety, pp. 106-119. Google Scholar
Walker, M., Mahmud, N., Papadopoulos, Y., Tagliabo, F., Torchiaro, S., Schierano, W., Lonn, H., 2008. ATESST2: Review of relevant Safety Analysis Techniques. Tech. Rep, 1-121.Google Scholar
Yang, Y., Zeckzer, D., Liggesmeyer, P., Hagen, H., 2011. ViSSaAn: visual support for safety analysis. In: Daastuhl Follow-Ups, pp. 378-395.Google Scholar
Arrott, M., Demchak, B., Ermagan, V., Farcas, C., Farcas, E., Krüger, I.H., et al., 2007. Rich services: the integration piece of the SOA puzzle. In: Proceedings of the IEEE International Conference on Web Services (ICWS). IEEE Computer Society, Salt Lake City, UT, pp. 176-183.Google Scholar
Bachmann, F., 2011. Give the Stakeholders What They Want: Design Peer Reviews the ATAM Style. CrossTalk.Google Scholar
Boehm, B., 1988. A spiral model of software development and enhancement. Computer 21 (5), 61-72, IEEE Computer Society. Google ScholarDigital Library
Boehm, B., 2006. Value-based software engineering: overview and agenda. In: Biffl, S., Aurum, A., Boehm, B., Erdogmus, H., Grünbacher, P. (Eds.), Value-Based Software Engineering. Springer, Berlin, pp. 3-14. (Chapter 1).Google Scholar
Boehm, B., Jain, A., 2006. An initial theory of value-based software engineerin. In: Biffl, S., Aurum, A., Boehm, B., Erdogmus, H., Grünbacher, P. (Eds.), Value-Based Software Engineering. Springer, Berlin, pp. 15-37. (Chapter 2).Google Scholar
Boehm, B., Turner, R., 2003. Balancing Agility and Discipline: Guide for the Perplexed. Longman Publishing Co, Boston, MA. Google Scholar
Boehm, B.W., Brown, J.R., Lipow, M., 1976. Quantitative evaluation of software quality. In: Proceedings of the 2nd International Conference on Software Engineering. IEEE Computer Society Press Los Alamitos, CA, pp. 592-605. Google Scholar
Boehm, B.W., Brown, J.R., Kaspar, H., Lipow, M., McLeod, G.J., Merritt, M.J., 1978. Characteristics of Software Quality. TRW Series of Software Technology, vol 1 North Holland, Amsterdam.Google Scholar
Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., et al., 2004. Web Services Architecture. W3C Working Group Note. Retrieved from: ¿http://www.w3.org/TR/2004/NOTE-ws-arch-20040211/¿.Google Scholar
Carriere, S.J., 2009. Lightweight Architecture Alternative Assessment Method. ¿http://technogility.sjcarriere.com/2009/05/11/its-pronounced-like-lamb-not-like-lame/¿.Google Scholar
Clements, P., Kazman, R., Klein, M., 2002. Evaluating Software Architecture: Methods and Case Studies. Addison Wesley, Boston, MA.Google Scholar
Cockburn, A., 2000. Writing Effective Use Cases. Addison-Wesley, Boston, MA. Google Scholar
Crosby, P.B., 1979. Quality is Free: The Art of Making Quality Certain. McGraw-Hill, New York, NY.Google Scholar
Dache, G., 2001. IT Companies will gain competitive advantage by integrating CMM with ISO9001. Qual. Syst. Update 11 (11).Google Scholar
Deissenboeck, F., Wagner, S., Pizka, M., Teuchert, S., Girard, J.F., 2007. An activity-based quality model for maintainability. In: Proc IEEE International Conference on Software Maintenance (ICSDM'07). IEEE Press, New York, NY, pp. 184-193.Google Scholar
Demchak, B., Krüger, I., 2012. Policy driven development: flexible policy insertion for large scale systems. In: 2012 IEEE International Symposium on Policies for Distributed Systems and Networks. IEEE Computer Society, Chapel Hill, NC, pp. 17-24. Google Scholar
Demchak, B., Farcas, C., Farcas, E., Krüger, I., 2007. The treasure map for rich services. In: Proceedings of the 2007 IEEE International Conference on Information Reuse and Integration (IRI). IEEE, Las Vegas, pp. 400-405.Google Scholar
Demchak, B., Kerr, J., Raab, F., Patrick, K., Krüger, I., 2012. PALMS: a modern coevolution of community and computing using policy driven development. In: 45th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii. Google Scholar
Deming, W.E., 1986. Out of the Crisis: Quality, Productivity and Competitive Position. Cambridge University Press, 507 pages.Google Scholar
Dromey, R.G., 1995. A model for software product quality. IEEE Transactions on Software Engineering 21 (2), 146-163, IEEE Press Piscataway, NJ. Google ScholarDigital Library
Farcas, E., Farcas, C., Krüger, I., 2014. Successful CyberInfrastructures for E-Health. In: Mistrik, I., Bahsoon, R., Zhang, Y., Kazman, R. (Eds.), Economics-driven Software Architecture. Elsevier, Waltham, MA, pp. 259-296, ch. 12.Google Scholar
Federal Information Security Management Act of 2002, Title III, E-Government Act of 2002, P.L. 107_347.Google Scholar
Feigenbaum, A.V., 1983. Total Quality Control. McGraw-Hill, New York, NY.Google Scholar
Fowler, M., 2009. Technical Debt Quadrant, Oct. Available from: ¿http://www.martinfowler.com/bliki/TechnicalDebtQuadrant.html¿ (accessed March 2012).Google Scholar
Fowler, M., Beck, K., Brant, J., Opdyke, W., Roberts, D., 1999. Refactoring: Improving the Design of Existing Code. Addison-Wesley Longman Publishing Co., Inc, Boston, MA. Google ScholarDigital Library
Garvin, D.A., 1984. What does product quality really mean? MIT Sloan Manage. Rev. 26 (1), 25-43.Google Scholar
Grady, R.B., 1992. Practical Software Metrics for Project Management and Process Improvement. Prentice-Hall. Google Scholar
Guo, Y., Seaman, C., 2011 A portfolio approach to technical debt management. Presented at the 2nd Workshop on Managing Technical Debt, Honolulu, HI. Google Scholar
Guo, Y., Seaman, C., Gomes, R., Cavalcanti, A., Tonin, G., Da Silva, F.Q.B., et al., 2011. Tracking technical debt--an exploratory case study. In: 27th IEEE International Conference on Software Maintenance (ICSM'11), Williamsburg, VA, pp. 528-531. Google Scholar
Halstead, M., 1977. Elements of Software Science. Elsevier Science Inc., New York, NY. Google Scholar
Health Insurance Portability and Accountability Act of 1996. P.L. 104_191.Google Scholar
Humphrey, W.S., 1989. Managing the Software Process. Addison-Wesley, Reading, MA. Google Scholar
Ishikawa, K., 1985. What Is Total Quality Control?: The Japanese Way. Prentice-Hall.Google Scholar
ISO, International Organization for Standardization, 2000. ISO 9001:2000, Quality Management Systems--Requirements.Google Scholar
ISO, International Organization for Standardization, 2001. ISO 9126-1:2001, Software engineering--Product Quality, Part 1: Quality Model.Google Scholar
ISO, International Organization for Standardization, 2011. ISO/IEC 25010:2011: Systems and software engineering--Systems and Software Quality Requirements and Evaluation (SQuaRE)--System and Software Quality Models.Google Scholar
Juran, J.M., Gryna, F.M., 1970. Quality Planning and Analysis: From Product Development Through Use. McGraw-Hill, New York, NY.Google Scholar
Juran, J.M., Gryna, F.M., 1988. Juran's Quality Control Handbook. McGraw-Hill, 1872 pages.Google Scholar
Kan, S.H., 2002. Metrics and Models in Software Quality Engineering, second ed. Addison-Wesley. Google Scholar
Kazman, R., Asundi, J., Klein, M., 2001. Quantifying the costs and benefits of architectural decisions. In: Proceedings of the 23rd International Conference on Software Engineering (ICSE'01). IEEE Computer Society, Toronto, Ontario, Canada, pp. 297-306. Google Scholar
Kazman, R., Asundi, J., Klein, M., 2002. Making Architecture Design Decisions: An Economic Approach (CMU/SEI-2002-TR-035, ESCTR-2002-035). Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA.Google Scholar
Leffingwell, D., 2007. Scaling Software Agility: Best Practices for Large Enterprises (The Agile Software Development Series). Addison-Wesley Professional. Google Scholar
MacKenzie, C., Laskey, K., McCabe, F., Brown, P., Metz, R., 2006. Reference Model for Service Oriented Architecture 1.0. OASIS Standard. Retrieved from: ¿http://docs.oasis-open.org/soa-rm/v1.0/soa-rm.pdf¿.Google Scholar
Markowitz, H., 1952. Portfolio selection. J. Finance 7, 77-91.Google Scholar
McCabe, T.J., 1976. A complexity measure. IEEE Trans. Softw. Eng. 2 (4), 308-320. Google ScholarDigital Library
McCall, J.A., Richards, P.K., Walters, G.F., 1977. Factors in Software Quality, The National Technical Information Service (NTIS), Vols. 1, 2 and 3.Google Scholar
Nikzad, N., Ziftci, C., Zappi, P., Quick, N., Aghera, P., Verma, N., et al., 2011. CitiSense-- Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change, Tech. Rep. CS2011-0961. University of California, San Diego, CA.Google Scholar
Nikzad, N., Verma, N., Ziftci, C., Bales, E., Quick, N., Zappi, P., et al., 2012. CitiSense: Improving Geospatial Environmental Assessment of Air Quality Using a Wireless Personal Exposure Monitoring System. Wireless Health (Best Paper). Google Scholar
Nord, R.L., Ozkaya, I., Kruchten, P., Gonzalez-Rojas, M., In search of a metric for managing architectural technical debt. In: 2012 Joint Working IEEE/IFIP Conference on Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), pp. 91, 100, 20-24 August 2012. Google ScholarDigital Library
Object Management Group, 2003. Model Driven Architecture (MDA) v1.0.1. omg/03-06-01, OMG.Google Scholar
Ohno-Machado, L., Bafna, V., Boxwala, A.A., Chapman, B.E., Chapman, W.W., Chaudhuri, K., et al., 2012. iDASH: integrating data for analysis, anonymization, and sharing. J. Am. Med. Inform. Assoc.: JAMIA 19 (2), 196-201. Available from: http://dx.doi.org/10.1136/amiajnl-2011-000538.Google ScholarCross Ref
Patrick, K., Wolszon, L., Basen-Engquist, K., Demark-Wahnefried, W., Prokhorov, A., Barrera, S., et al., 2011. CYberinfrastructure for COmparative effectiveness REsearch (CYCORE): improving data from cancer clinical trials. J. Transl. Behav. Med. Practice, Policy, Research 1 (1), 83-88. Available from: ¿http://dx.doi.org/10.1007/s13142-010-0005-z¿.Google ScholarCross Ref
Paulk, M., Weber, C.V., Curtis, B., Chrissis, M.B., 1995. The Capability Maturity Model: Guidelines for Improving the Software Process. Addison-Wesley. Google Scholar
Peterson, S.K., Shinn, E.H., Basen-Engquist, K., Demark-Wahnefried, W., Prokhorov, A. V., Baru, C., et al., 2013. Identifying early dehydration risk with home-based sensors during radiation treatment: a feasibility study with head and neck cancer patients. J. Natl. Cancer Inst. Monograph 47, 162-168, Oxford University Press, http://dx.doi.org/10.1093/jncimonographs/lgt016.Google ScholarCross Ref
Saaty, T.L., 1982. Decision Making for Leaders: The Analytical Hierarchy Process for Decision in a Complex World. Lifetime Learning Publications, Belmot, CA.Google Scholar
Seaman, C., Guo, Y., 2011. Measuring and monitoring technical debt. Adv. Comput. 82, 22.Google Scholar
SEI, Software Engineering Institute, 2001a. Capability Maturity Model Integration (CMMI), Version 1.1, CMMI for Systems Engineering and Software Engineering (CMMI-SE/SW, V1.1), Continuous Representation. Carnegie Mellon University, CMU/SEI-2002-TR-001.Google Scholar
SEI, Software Engineering Institute, 2001b. Capability Maturity Model Integration (CMMI), Version 1.1, CMMI for Systems Engineering and Software Engineering (CMMI-SE/SW, V1.1), Staged Representation. Carnegie Mellon University, CMU/SEI-2002-TR-002.Google Scholar
Shewhart, W.A., 1931. Economic Control of Quality of Manufactured Product. D. Van Nostrand Company, New York, NY.Google Scholar
Woods, E., 2011. Industrial architectural assessment using TARA. In: Ninth Working IEEE/IFIP Conference on Software Architecture (WICSA). Google Scholar
Andriole, 1986. In: Andriole, S.J. (Ed.), Software Validation, Verification, Testing, and Documentation. Petrocelli Books, Princeton, NJ. Google Scholar
Boehm, B.W., Brown, J.R., Kaspar, H., Lipow, M., McLeod, G., Merritt, M., 1978. Characteristics of Software Quality. North Holland Publishing, Amsterdam, the Netherlands.Google Scholar
Brooks, 1975. The Mythical Man Month. Addison-Wesley, Reading, MA (Chapter 14). Google Scholar
Cimperman, R., 2006. UAT Defined: A Guide to Practical User Acceptance Testing. Pearson Education, New York City NY, (Chapter 2) ISBN 9780132702621. Google Scholar
CMMI®, 2010. CMMI Product Team: CMMI for Development, Version 1.3 (CMU/SEI- 2010-TR-033). Carnegie Mellon University, Software Engineering Institute, Pittsburgh, PA.Google Scholar
Coates, IV, J.C., Srinivasan, S., 2014. SOX after ten years: a multidisciplinary review (January 12, 2014). Accounting Horizons. Available at SSRN: ¿http://ssrn.com/abstract=2379731¿.Google Scholar
Cohen, J., 2006. Best Kept Secrets of Peer Code Review (Modern Approach. Practical Advice.). Smart Bear Inc., Somerville, MA, ISBN 1-59916-067-6.Google Scholar
Deming, W.E., 1986. Out of the Crisis. MIT Center for Advanced Engineering Study, Cambridge, MA.Google Scholar
Houston, A., 1988. A Total Quality Management Process Improvement Model. Navy Personnel Research and Development Center, San Diego, CA.Google Scholar
Humphrey, W.S., 1987. Characterizing the Software Process: A Maturity Framework. CMU/SEI-87-TR-11. Carnegie Mellon University, Software Engineering Institute, Pittsburgh, PA.Google Scholar
IEEE, 1984. Guide to Software Requirements Specifications. ISBN 0-7381-4418-5, IEEE Computer Society Press, Los Alamitos, CA.Google Scholar
IEEE, 1990. IEEE Standard Glossary of Software Engineering Terminology" (IEEE Std 610.12-1990). IEEE Computer Society Press, Los Alamitos, CA.Google Scholar
ISO 9126-2, 2001. DTR 9126-2: Software Engineering--Software Product Quality Part 2--External Metrics. ISO/IEC JTC1/SC7 N2419, 2001, International Organization for Standardization, Geneva, Switzerland.Google Scholar
JUNIT, 2014. Retrieved from ¿http://junit.org¿ (October 2014).Google Scholar
Juran, 1999. Juran's Quality Handbook, fifth ed. McGraw-Hill, New York, NY, ISBN 0-07-034003-X.Google Scholar
Martínez-Lorente, A.R., Dewhurst, F., Dale, B.G., 1998. Total quality management: origins and evolution of the term. The TQM Magazine. MCB University Publishers Ltd, Bingley, UK.Google Scholar
NASA, 2009. NASA software assurance definitions. Retrieved from ¿http://www.hq.nasa.gov/office/codeq/software/umbrella_defs.htm¿ (October 2014).Google Scholar
Paulk, M.C., Curtis, B., Chrissis, M.B., Averill, E.L., Bamberger, J., Kasse, T.C., et al., 1991. Capability Maturity Model for Software. CMU/SEI-91-TR-24. Carnegie Mellon University, Software Engineering Institute, Pittsburgh, PA.Google Scholar
PMI, 2010. A Guide to the Project Management Body of Knowledge (PMBOK Guide). PMI Standards Committee, Project Management Institute, Newtown Square, PA, ISBN 1-933890-66-5.Google Scholar
SEI Cmmi® Maturity Profile Report, 2014. CMMI Maturity Profile Report. Carnegie Mellon University, Software Engineering Institute, Pittsburgh, PA, Retrieved from ¿http://cmmi®institute.com/wp-content/uploads/2014/05/Maturity-Profile-Ending-March-2014.pdf¿ (October 2014).Google Scholar
Shewhart, 1931. Economic Control of Quality of Manufactured Product. D. Van Nostrand Company, New York, NY, ISBM0-87389-076-0.Google Scholar
SOX, 2002. Public Law 107-204--Sarbanes-Oxley Act of 2002.Google Scholar
Tennant, G., 2001. Six Sigma: SPC and TQM in Manufacturing and Services. Gower Publishing Ltd, Farnham, UK, ISBN 0-566-08374-4.Google Scholar

Cited By

Alkharabsheh K, Crespo Y, Fernández-Delgado M, Viqueira J and Taboada J (2021). Exploratory study of the impact of project domain and size category on the detection of the God class design smell, Software Quality Journal, 29:2, (197-237), Online publication date: 1-Jun-2021.

Contributors

Ivan Mistrík
- Publication Years1990 - 2017
- Publication counts17
- Citation count60
- Available for Download0
- Downloads (cumulative)383
- Downloads (12 months)0
- Downloads (6 weeks)0
- Average Downloads per Article0
- Average Citation per Article4
View Full Profile
Richard Mark Soley
- Publication Years1985 - 2023
- Publication counts20
- Citation count27
- Available for Download7
- Downloads (cumulative)1,704
- Downloads (12 months)97
- Downloads (6 weeks)10
- Average Downloads per Article243
- Average Citation per Article1
View Full Profile
Nour Ali
Brunel University London
- Publication Years2005 - 2022
- Publication counts41
- Citation count215
- Available for Download12
- Downloads (cumulative)5,412
- Downloads (12 months)324
- Downloads (6 weeks)30
- Average Downloads per Article451
- Average Citation per Article5
View Full Profile
John C. Grundy
Monash University
- Publication Years1995 - 2024
- Publication counts358
- Citation count2,448
- Available for Download149
- Downloads (cumulative)67,619
- Downloads (12 months)11,639
- Downloads (6 weeks)1,723
- Average Downloads per Article454
- Average Citation per Article7
View Full Profile
Bedi̇r Teki̇nerdoğan
Wageningen University & Research
- Publication Years2012 - 2024
- Publication counts67
- Citation count235
- Available for Download17
- Downloads (cumulative)2,580
- Downloads (12 months)89
- Downloads (6 weeks)10
- Average Downloads per Article152
- Average Citation per Article4
View Full Profile

Recommendations

Software Quality Assurance

This paper describes the status of software quality assurance as a relatively new and autonomous field. The history of its development from hardware quality assurance programs is discussed, current methods are reviewed, and future directions are ...
Read More
Quality Assurance in Research Software
Read More
Software Testing & Quality Assurance: From Traditional to Cloud Computing Learn Software testing & quality assurance from the expert with 25 years of experience
Read More

Comments

Save to Binder

Sections

References

Cited By

Save to Binder

Recommendations

Software Quality Assurance

Quality Assurance in Research Software

Software Testing & Quality Assurance: From Traditional to Cloud Computing Learn Software testing & quality assurance from the expert with 25 years of experience