Browse Books

Wang L, Chen S, Chen F, He Q and Liu J (2024). B-Detection: Runtime Reliability Anomaly Detection for MEC Services With Boosting LSTM Autoencoder, IEEE Transactions on Mobile Computing, 23:4, (2599-2613), Online publication date: 1-Apr-2024.

Dohi T, Li S and Hiroyuki O (2024). Local polynomial software reliability models and their application, Information and Software Technology, 166:C, Online publication date: 1-Feb-2024.

Zhao B, Song Y, Xu W and Huang F A Cognitive Framework for Modeling Coincident Software Faults: An Experimental Study Computer Safety, Reliability, and Security, (41-54)

Xiao R, Chen H, Lu J, Li W and Jin S (2023). AllInfoLog: Robust Diverse Anomalies Detection Based on All Log Features, IEEE Transactions on Network and Service Management, 20:3, (2529-2543), Online publication date: 1-Sep-2023.

Zheng P, Zheng Z and Chen L (2023). Selecting reliable blockchain peers via hybrid blockchain reliability prediction, IET Software, 17:4, (362-377), Online publication date: 27-Jul-2023.

Bhutamapuram U Some Investigations of Machine Learning Models for Software Defects Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings, (259-263)

Salako K and Zhao X (2023). The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments, IEEE Transactions on Software Engineering, 49:4, (2829-2838), Online publication date: 1-Apr-2023.

Bousy I, Barr E and Clark D (2023). PopArt: Ranked Testing Efficiency, IEEE Transactions on Software Engineering, 49:4, (2221-2238), Online publication date: 1-Apr-2023.

Guler Dincer N, Demir S and Yalçin M (2022). Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models, New Generation Computing, 40:4, (1143-1164), Online publication date: 1-Dec-2022.

Yue C (2022). A VIKOR-based group decision-making approach to software reliability evaluation, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 26:18, (9445-9464), Online publication date: 1-Sep-2022.

Nagaraju V, Pritchard S and Fiondella L Adaptive Incremental Learning for Software Reliability Growth Models Human Interface and the Management of Information: Applications in Complex Technological Environments, (352-366)

Tamura Y, Anand A and Yamada S Visualization and Reliability Analysis for Edge Computing Open Source Software Human Interface and the Management of Information: Visual and Information Design, (410-420)

Lin J, Huang C and Fang C (2022). Analysis and assessment of software reliability modeling with preemptive priority queueing policy, Journal of Systems and Software, 187:C, Online publication date: 1-May-2022.

Chen K, Faddi Z, Nagaraju V and Fiondella L Quantifying the Impact of Staged Rollout Policies on Software Process and Product Metrics 2022 Annual Reliability and Maintainability Symposium (RAMS), (1-6)

Tamrabet Z, Marir T and Mokhati F (2022). ESQuMo, International Journal of Embedded and Real-Time Communication Systems, 13:1, (1-18), Online publication date: 14-Jan-2022.

Condia J, Narducci P, Sonza Reorda M and Sterpone L (2021). DYRE: a DYnamic REconfigurable solution to increase GPGPU’s reliability, The Journal of Supercomputing, 77:10, (11625-11642), Online publication date: 1-Oct-2021.

Wang P, Shi T and Reddy C (2021). A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model, IEEE Transactions on Knowledge and Data Engineering, 33:9, (3311-3322), Online publication date: 1-Sep-2021.

Farooq S, Ahmad N and Ahmad A (2021). An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model, International Journal of Software Innovation, 9:3, (23-41), Online publication date: 1-Jul-2021.

Chatterjee S, Saha D and Sharma A (2021). Multi‐upgradation software reliability growth model with dependency of faults under change point and imperfect debugging, Journal of Software: Evolution and Process, 33:6, Online publication date: 1-Jun-2021.

Guerriero A, Pietrantuono R and Russo S Operation is the hardest teacher Proceedings of the 43rd International Conference on Software Engineering, (348-358)

Yaghoobi T (2021). Selection of optimal software reliability growth model using a diversity index, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:7, (5339-5353), Online publication date: 1-Apr-2021.

Bhardwaj S and Kim D (2021). Dragonfly-based swarm system model for node identification in ultra-reliable low-latency communication, Neural Computing and Applications, 33:6, (1837-1880), Online publication date: 1-Mar-2021.

Amara D, Fatnassi E, Ben Arfa Rabai L and Brada P (2021). An Empirical Assessment and Validation of Redundancy Metrics Using Defect Density as Reliability Indicator, Scientific Programming, 2021, Online publication date: 1-Jan-2021.

Koochemeshkian P, Zamzami N and Bouguila N Distribution-based Regression Models for Semi-Bounded Data Analysis 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (4073-4080)

Zhang X, Wang X, Yun W, Gao C, Han M and Liu H (2020). Pattern‐based software process modeling for dependability, Journal of Software: Evolution and Process, 32:9, Online publication date: 3-Sep-2020.

Shaw M (2022). Myths and mythconceptions: what does it mean to be a programming language, anyhow?, Proceedings of the ACM on Programming Languages, 4:HOPL, (1-44), Online publication date: 14-Jun-2020.

Qiao L, Li X, Umer Q and Guo P (2020). Deep learning based software defect prediction, Neurocomputing, 385:C, (100-110), Online publication date: 14-Apr-2020.

Yue C (2020). Picture fuzzy normalized projection and extended VIKOR approach to software reliability assessment, Applied Soft Computing, 88:C, Online publication date: 1-Mar-2020.

Gula A, Ellis C, Bhattacharya S and Fiondella L Software and System Reliability Engineering for Autonomous Systems Incorporating Machine Learning 2020 Annual Reliability and Maintainability Symposium (RAMS), (1-6)

Wang P, Li Y and Reddy C (2019). Machine Learning for Survival Analysis, ACM Computing Surveys, 51:6, (1-36), Online publication date: 30-Nov-2019.

Gusmanov K CNN LSTM Network Architecture for Modeling Software Reliability Software Technology: Methods and Tools, (210-217)

Xu Z, Pang S, Zhang T, Luo X, Liu J, Tang Y, Yu X and Xue L (2019). Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning, Journal of Computer Science and Technology, 34:5, (1039-1062), Online publication date: 1-Sep-2019.

Tramontana P, Amalfitano D, Amatucci N, Memon A and Fasolino A (2019). Developing and Evaluating Objective Termination Criteria for Random Testing, ACM Transactions on Software Engineering and Methodology, 28:3, (1-52), Online publication date: 31-Jul-2019.

Chren S, Micko R, Buhnova B and Rossi B STRAIT Proceedings of the 16th International Conference on Mining Software Repositories, (105-110)

Andrade S, Santos Í, Junior C, Júnior M, de Souza S and Delamaro M On applying metamorphic testing Proceedings of the 4th International Workshop on Metamorphic Testing, (9-16)

Wu C, Ma J and Chen L Separately Modeling Fault Detection and Removing Testing Effort for Software Reliability Evaluation Proceedings of the 2nd International Conference on Computer Science and Software Engineering, (119-125)

Chatterjee S and Shukla A (2018). A unified approach of testing coverage‐based software reliability growth modelling with fault detection probability, imperfect debugging, and change point, Journal of Software: Evolution and Process, 31:3, Online publication date: 25-Mar-2019.

Hu C, Fan W, Du J and Bouguila N (2022). A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models, Neurocomputing, 333:C, (110-123), Online publication date: 14-Mar-2019.

Di Crescenzo A and Pellerey F (2019). Some Results and Applications of Geometric Counting Processes, Methodology and Computing in Applied Probability, 21:1, (203-233), Online publication date: 1-Mar-2019.

V. Utkin L (2019). An imprecise extension of SVM-based machine learning models, Neurocomputing, 331:C, (18-32), Online publication date: 28-Feb-2019.

Movahedi Y, Cukier M, Andongabo A and Gashi I (2019). Cluster-based vulnerability assessment of operating systems and web browsers, Computing, 101:2, (139-160), Online publication date: 1-Feb-2019.

Zhang X, Wang X and Kang Y (2018). Trustworthiness requirement‐oriented software process modeling, Journal of Software: Evolution and Process, 30:12, Online publication date: 12-Dec-2018.

Chinnaiah M and Niranjan N (2018). Fault tolerant software systems using software configurations for cloud computing, Journal of Cloud Computing: Advances, Systems and Applications, 7:1, (1-17), Online publication date: 1-Dec-2018.

Singh V, Sharma M and Pham H (2018). Entropy Based Software Reliability Analysis of Multi-Version Open Source Software, IEEE Transactions on Software Engineering, 44:12, (1207-1223), Online publication date: 1-Dec-2018.

Chatterjee S and Maji B (2018). A bayesian belief network based model for predicting software faults in early phase of software development process, Applied Intelligence, 48:8, (2214-2228), Online publication date: 1-Aug-2018.

Benaddy M, El Habil B, El Meslouhi O and Krit S Recurrent neural network for software failure prediction Proceedings of the Fourth International Conference on Engineering & MIS 2018, (1-8)

Pietrantuono R and Russo S Search-based optimization for the testing resource allocation problem Proceedings of the 11th International Workshop on Search-Based Software Testing, (6-12)

Wen S, Nilsson C and Staron M Assessing the release readiness of engine control software Proceedings of the 1st International Workshop on Software Qualities and Their Dependencies, (5-12)

Lavazza L, Morasca S and Tosi D Technical debt as an external software attribute Proceedings of the 2018 International Conference on Technical Debt, (21-30)

Krishna R, Agrawal A, Rahman A, Sobran A and Menzies T What is the connection between issues, bugs, and enhancements? Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, (306-315)

Khurshid S, Shrivastava A and Iqbal J (2018). Fault Prediction Modelling in Open Source Software Under Imperfect Debugging and Change-Point, International Journal of Open Source Software and Processes, 9:2, (1-17), Online publication date: 1-Apr-2018.

Karami G and Tian J (2018). Maintaining accurate web usage models using updates from activity diagrams, Information and Software Technology, 96:C, (68-77), Online publication date: 1-Apr-2018.

Roy A and Pham H (2018). Toward the development of a conventional time series based web error forecasting framework, Empirical Software Engineering, 23:2, (570-644), Online publication date: 1-Apr-2018.

Nagaraju V, Shekar V, Wandji T and Fiondella L An Open Source Software Defect Estimation Tool (SweET) 2018 Annual Reliability and Maintainability Symposium (RAMS), (1-7)

Wang H, Wang L, Yu Q, Zheng Z, Bouguettaya A and Lyu M (2017). Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems, IEEE Transactions on Software Engineering, 43:6, (556-579), Online publication date: 1-Jun-2017.

Bertolino A, Miranda B, Pietrantuono R and Russo S Adaptive coverage and operational profile-based testing for reliability improvement Proceedings of the 39th International Conference on Software Engineering, (541-551)

Lian Y, Tang Y and Wang Y (2017). Objective Bayesian analysis of JM model in software reliability, Computational Statistics & Data Analysis, 109:C, (199-214), Online publication date: 1-May-2017.

Pita Costa J and Galinac Grbac T The Topological Data Analysis of Time Series Failure Data in Software Evolution Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion, (25-30)

Trubiani C, Ghabi A and Egyed A (2017). Exploiting traceability uncertainty between software architectural models and extra-functional results, Journal of Systems and Software, 125:C, (15-34), Online publication date: 1-Mar-2017.

Ghosh S, Vishnuvardhan P, Vadlamudi S, Hazra A, Dey S and Chakrabarti P (2017). RELSPEC, Design Automation for Embedded Systems, 21:1, (37-87), Online publication date: 1-Mar-2017.

Nagaraju V and Fiondella L A single changepoint software reliability growth model with heterogeneous fault detection processes 2017 Annual Reliability and Maintainability Symposium (RAMS), (1-6)

Chatterjee S, Nigam S and Roy A (2017). Software fault prediction using neuro-fuzzy network and evolutionary learning approach, Neural Computing and Applications, 28:1, (1221-1231), Online publication date: 1-Jan-2017.

Yazdanbakhsh O, Dick S, Reay I and Mace E (2016). On deterministic chaos in software reliability growth models, Applied Soft Computing, 49:C, (1256-1269), Online publication date: 1-Dec-2016.

Grbac T and Mauša G On the distribution of software faults in evolution of complex systems Proceedings of the International Colloquium on Software-intensive Systems-of-Systems at 10th European Conference on Software Architecture, (1-7)

Li K, Liu L, Zhai J, Khoshgoftaar T and Li T (2016). The improved grey model based on particle swarm optimization algorithm for time series prediction, Engineering Applications of Artificial Intelligence, 55:C, (285-291), Online publication date: 1-Oct-2016.

Kovalev I, Zelenkov P, Karaseva M and Kovalev D Ant Algorithm Modification for Multi-Version Software Building Proceedings, Part I, of the 6th International Conference on Advances in Swarm and Computational Intelligence - Volume 9140, (222-228)

Xu H, Zhou Y and Lyu M N-version Obfuscation Proceedings of the 2nd ACM International Workshop on Cyber-Physical System Security, (22-33)

Pavese E, Braberman V and Uchitel S (2016). Less is More, ACM Transactions on Software Engineering and Methodology, 25:2, (1-47), Online publication date: 16-May-2016.

Miranda B and Bertolino A Does code coverage provide a good stopping rule for operational profile based testing? Proceedings of the 11th International Workshop on Automation of Software Test, (22-28)

Zhu M and Pham H (2016). A software reliability model with time-dependent fault detection and fault removal, Vietnam Journal of Computer Science, 3:2, (71-79), Online publication date: 1-May-2016.

Venkatakrishnan R and Vouk M (2016). Using Redundancy to Detect Security Anomalies: Towards IoT security attack detectors, Ubiquity, 2016:January, (1-19), Online publication date: 20-Jan-2016.

Ozcelik B and Yilmaz C (2016). Seer: A Lightweight Online Failure Prediction Approach, IEEE Transactions on Software Engineering, 42:1, (26-46), Online publication date: 1-Jan-2016.

Cong J and Yu C Impact of Loop Transformations on Software Reliability Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, (278-285)

Roy P, Mahapatra G and Dey K (2015). Neuro-genetic approach on logistic model based software reliability prediction, Expert Systems with Applications: An International Journal, 42:10, (4709-4718), Online publication date: 15-Jun-2015.

Amalfitano D, Amatucci N, Fasolino A, Tramontana P, Kowalczyk E and Memon A Exploiting the saturation effect in automatic random testing of Android applications Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems, (33-43)

Pati J and Shukla K A Hybrid Technique for Software Reliability Prediction Proceedings of the 8th India Software Engineering Conference, (139-146)

Barros F (2015). Representing tactics for fault recovery, International Journal of Reconfigurable Computing, 2015, (4-4), Online publication date: 1-Jan-2015.

Pham T, Défago X and Huynh Q (2015). Reliability prediction for component-based software systems, Science of Computer Programming, 97:P4, (426-457), Online publication date: 1-Jan-2015.

Nautiyal L, Gupta N and Dimri S (2014). Measurement of the Reliability of a Component-Based Development using a Path-Based Approach, ACM SIGSOFT Software Engineering Notes, 39:6, (1-5), Online publication date: 9-Dec-2014.

Ke S, Huang C and Peng K Software reliability analysis considering the variation of testing-effort and change-point Proceedings of the International Workshop on Innovative Software Development Methodologies and Practices, (30-39)

Elbaum S and Rosenblum D Known unknowns: testing in the presence of uncertainty Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (833-836)

Luan S and Huang C (2014). An improved Pareto distribution for modelling the fault data of open source software, Software Testing, Verification & Reliability, 24:6, (416-437), Online publication date: 1-Sep-2014.

Wang J, Wu Z, Shu Y, Zhang Z and Xue L A study on software reliability prediction based on triple exponential smoothing method (WIP) Proceedings of the 2014 Summer Simulation Multiconference, (1-9)

Buhnova B, Chren S and Fabriková L Failure data collection for reliability prediction models Proceedings of the 10th international ACM Sigsoft conference on Quality of software architectures, (83-92)

Di Martino C, Kalbarczyk Z, Iyer R, Goel G, Sarkar S and Ganesan R Characterization of operational failures from a business data processing SaaS platform Companion Proceedings of the 36th International Conference on Software Engineering, (195-204)

Nguyen T, Duesterwald E, Klinger T, Santhanam P and Nguyen T Characterizing defect trends in software support Companion Proceedings of the 36th International Conference on Software Engineering, (508-511)

Subramani S, Vouk M and Williams L An analysis of Fedora security profile Proceedings of the 2014 Symposium and Bootcamp on the Science of Security, (1-2)

Bhuyan M, Mohapatra D and Sethi S (2014). A survey of computational intelligence approaches for software reliability prediction, ACM SIGSOFT Software Engineering Notes, 39:2, (1-10), Online publication date: 29-Mar-2014.

Singh L, Vinod G and Tripathi A (2013). Reliability prediction through system modeling, ACM SIGSOFT Software Engineering Notes, 38:6, (1-10), Online publication date: 11-Nov-2013.

Silic M, Delac G and Srbljic S Prediction of atomic web services reliability based on k-means clustering Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, (70-80)

Pavese E, Braberman V and Uchitel S Automated reliability estimation over partial systematic explorations Proceedings of the 2013 International Conference on Software Engineering, (602-611)

Nascimento A, Rubira C, Burrows R and Castor F A systematic review of design diversity-based solutions for fault-tolerant SOAs Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering, (107-118)

Xu H, Xie Y, Duan D, Chen L and Wu J FTCRank Revised Selected Papers of PAKDD 2013 International Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 7867, (522-532)

Durelli V, Araujo R, Silva M, Oliveira R, Maldonado J and Delamaro M (2013). A scoping study on the 25 years of research into software testing in Brazil and an outlook on the future of the area, Journal of Systems and Software, 86:4, (934-950), Online publication date: 1-Apr-2013.

Zheng Z and Lyu M (2013). Personalized Reliability Prediction of Web Services, ACM Transactions on Software Engineering and Methodology, 22:2, (1-25), Online publication date: 1-Mar-2013.

Grottke M and Schleich B (2013). How does testing affect the availability of aging software systems?, Performance Evaluation, 70:3, (179-196), Online publication date: 1-Mar-2013.

Kim S, Zimmermann T, Premraj R, Bettenburg N and Shivaji S Predicting method crashes with bytecode operations Proceedings of the 6th India Software Engineering Conference, (3-12)

Mohanty R, Ravi V and Patra M (2013). Hybrid intelligent systems for predicting software reliability, Applied Soft Computing, 13:1, (189-200), Online publication date: 1-Jan-2013.

Bernardi S, Merseguer J and Petriu D (2012). Dependability modeling and analysis of software systems specified with UML, ACM Computing Surveys, 45:1, (1-48), Online publication date: 1-Nov-2012.

Wang J and Zhang H Predicting defect numbers based on defect state transition models Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement, (191-200)

Benes N, Buhnova B, Cerna I and Oslejsek R Reliability analysis in component-based development via probabilistic model checking Proceedings of the 15th ACM SIGSOFT symposium on Component Based Software Engineering, (83-92)

Ikemoto S, Dohi T and Okamura H Estimating software reliability via pseudo maximum likelihood method Proceedings of the 27th Annual ACM Symposium on Applied Computing, (1171-1176)

Bdiri T and Bouguila N (2012). Positive vectors clustering using inverted Dirichlet finite mixture models, Expert Systems with Applications: An International Journal, 39:2, (1869-1882), Online publication date: 1-Feb-2012.

Kumar P and Singh Y (2012). Assessment of software testing time using soft computing techniques, ACM SIGSOFT Software Engineering Notes, 37:1, (1-6), Online publication date: 27-Jan-2012.

Xiao X and Dohi T (2012). A comparative study of data transformations for wavelet shrinkage estimation with application to software reliability assessment, Advances in Software Engineering, 2012, (3-3), Online publication date: 1-Jan-2012.

Birnbaum A, Fournier L, Mittermaier S and Ziv A Reverse coverage analysis Proceedings of the 7th international Haifa Verification conference on Hardware and Software: verification and testing, (190-202)

Buckley I, Fernandez E, Anisetti M, Ardagna C, Sadjadi M and Damiani E Towards pattern-based reliability certification of services Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II, (560-576)

Bugiel S, Davi L and Schulz S Scalable trust establishment with software reputation Proceedings of the sixth ACM workshop on Scalable trusted computing, (15-24)

Buys J, De Florio V and Blondia C Towards context-aware adaptive fault tolerance in SOA applications Proceedings of the 5th ACM international conference on Distributed event-based system, (63-74)

Bernardi S, Merseguer J and Petriu D (2011). A dependability profile within MARTE, Software and Systems Modeling (SoSyM), 10:3, (313-336), Online publication date: 1-Jul-2011.

Radliński Ł A framework for integrated software quality prediction using Bayesian nets Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V, (310-325)

Nagappan M, Peeler A and Vouk M Modeling cloud failure data Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing, (8-14)

Fujii T, Dohi T and Fujiwara T Towards quantitative software reliability assessment in incremental development processes Proceedings of the 33rd International Conference on Software Engineering, (41-50)

Debroy V and Wong W (2011). On the estimation of adequate test set size using fault failure rates, Journal of Systems and Software, 84:4, (587-602), Online publication date: 1-Apr-2011.

Derin O, Diken E and Fiorin L (2011). A middleware approach to achieving fault tolerance of Kahn process networks on networks on chips, International Journal of Reconfigurable Computing, 2011, (8-8), Online publication date: 1-Jan-2011.

Singh Y and Kumar P (2010). Application of feed-forward neural networks for software reliability prediction, ACM SIGSOFT Software Engineering Notes, 35:5, (1-6), Online publication date: 22-Oct-2010.

Yan Z, Chen X and Guo P Software defect prediction using fuzzy support vector regression Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II, (17-24)

Zheng Z and Lyu M Collaborative reliability prediction of service-oriented systems Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1, (35-44)

Cai K, Cao P, Dong Z and Liu K (2010). Mathematical modeling of software reliability testing with imperfect debugging, Computers & Mathematics with Applications, 59:10, (3245-3285), Online publication date: 1-May-2010.

Salfner F, Lenk M and Malek M (2010). A survey of online failure prediction methods, ACM Computing Surveys, 42:3, (1-42), Online publication date: 1-Mar-2010.

David N, Patrascu L, Ratiu I, Carstea C, Plesea D and Damian D On some probabilistic models for software reliability Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization, (61-64)

Chiu N (2009). An early software-quality classification based on improved grey relational classifier, Expert Systems with Applications: An International Journal, 36:7, (10727-10734), Online publication date: 1-Sep-2009.

Bubevski V A simulation approach to six sigma in software development Proceedings of the 2009 Summer Computer Simulation Conference, (125-132)

Lo J The implementation of artificial neural networks applying to software reliability modeling Proceedings of the 21st annual international conference on Chinese control and decision conference, (4385-4390)

Hsu C and Huang C Reliability analysis using weighted combinational models for web-based software Proceedings of the 18th international conference on World wide web, (1131-1132)

Cai K, Hu D, Bai C, Hu H and Jing T (2008). Does software reliability growth behavior follow a non-homogeneous Poisson process, Information and Software Technology, 50:12, (1232-1247), Online publication date: 1-Nov-2008.

Shatnawi O A generalized software fault classification model Proceedings of the 8th conference on Systems theory and scientific computation, (192-197)

Cai K, Jiang C, Hu H and Bai C (2008). An experimental study of adaptive testing for software reliability assessment, Journal of Systems and Software, 81:8, (1406-1429), Online publication date: 1-Aug-2008.

Park B, Pedrycz W and Oh S (2008). An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering, Information and Software Technology, 50:9-10, (912-923), Online publication date: 1-Aug-2008.

Shatnawi O A generalized software fault classification model Proceedings of the 12th WSEAS international conference on Computers, (993-998)

Gordeyev A, Kharchenko V, Andrashov A, Konorev B, Sklyar V and Boyarchuk A Case-based software reliability assessmentby fault injection unified procedures Proceedings of the 2008 international workshop on Software Engineering in east and south europe, (1-8)

Florio V and Blondia C (2008). A survey of linguistic structures for application-level fault tolerance, ACM Computing Surveys, 40:2, (1-37), Online publication date: 1-Apr-2008.

Cai K, Dong Z and Liu K (2008). Software testing processes as a linear dynamic system, Information Sciences: an International Journal, 178:6, (1558-1597), Online publication date: 20-Mar-2008.

Alaeddine N and Tian J Analysis of anomalies and failures in dynamic web applications Proceedings of the 11th IASTED International Conference on Software Engineering and Applications, (385-390)

Zhao J, Men C, Gao Z and Gu G Considering environmental function in reliability growth modeling from testing to operation Proceedings of the 11th IASTED International Conference on Software Engineering and Applications, (124-129)

Cooprider N, Archer W, Eide E, Gay D and Regehr J Efficient memory safety for TinyOS Proceedings of the 5th international conference on Embedded networked sensor systems, (205-218)

Almering V, van Genuchten M, Cloudt G and Sonnemans P (2007). Using Software Reliability Growth Models in Practice, IEEE Software, 24:6, (82-88), Online publication date: 1-Nov-2007.

Moraes R, Durães J, Martins E and Madeira H Component-based software certification based on experimental risk assessment Proceedings of the Third Latin-American conference on Dependable Computing, (179-197)

Choi J, Oh S and Seo K Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III, (225-230)

Ma L and Tian J (2007). Web error classification and analysis for reliability improvement, Journal of Systems and Software, 80:6, (795-804), Online publication date: 1-Jun-2007.

Bertolino A Software Testing Research 2007 Future of Software Engineering, (85-103)

Lyu M Software Reliability Engineering 2007 Future of Software Engineering, (153-170)

Wu W and Kelly T Towards evidence-based architectural design for safety-critical software applications Architecting dependable systems IV, (383-408)

Schneidewind N (2007). A Quantitative Approach to Software Development Using IEEE 982.1, IEEE Software, 24:1, (65-72), Online publication date: 1-Jan-2007.

Oh S, Pedrycz W and Roh S (2006). Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons, Information Sciences: an International Journal, 176:23, (3490-3519), Online publication date: 1-Dec-2006.

Duraes J and Madeira H (2006). Emulation of Software Faults, IEEE Transactions on Software Engineering, 32:11, (849-867), Online publication date: 1-Nov-2006.

Yang B, Zheng X and Guo P Software metrics data clustering for quality prediction Proceedings of the 2006 international conference on Intelligent computing: Part II, (959-964)

Oh S, Pedrycz W, Kim W and Kim H GA-based polynomial neural networks architecture and its application to multi-variable software process Proceedings of the 9th Pacific Rim international conference on Artificial intelligence, (834-838)

Saha G (2006). Software implemented fault tolerance, Ubiquity, 2006:August, (1-1), Online publication date: 1-Aug-2006.

Pai P and Hong W (2006). Software reliability forecasting by support vector machines with simulated annealing algorithms, Journal of Systems and Software, 79:6, (747-755), Online publication date: 1-Jun-2006.

Li P, Herbsleb J, Shaw M and Robinson B Experiences and results from initiating field defect prediction and product test prioritization efforts at ABB Inc. Proceedings of the 28th international conference on Software engineering, (413-422)

Oh S, Lee I and Choi J Design of fuzzy polynomial neural networks with the aid of genetic fuzzy granulation and its application to multi-variable process system Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I, (774-779)

Bokhari M and Ahmad N Analysis of a software reliability growth models Proceedings of the 17th IASTED international conference on Modelling and simulation, (540-545)

Chan P, Lyu M and Malek M Making services fault tolerant Proceedings of the Third international conference on Service Availability, (43-61)

Wolf M and Grodzinsky F Good/fast/cheap Proceedings of the 2006 ACM symposium on Applied computing, (261-266)

Zhang X and Pham H (2006). Software field failure rate prediction before software deployment, Journal of Systems and Software, 79:3, (291-300), Online publication date: 1-Mar-2006.

Meyer B Dependable software Dependable Systems, (1-33)

Junhong G, Hongwei L and Xiaozong Y An autoregressive time series software reliability growth model with independent increment Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering, (362-366)

Kristiansen M Finding upper bounds for software failure probabilities – experiments and results Proceedings of the 24th international conference on Computer Safety, Reliability, and Security, (179-193)

Xiang J and Ogata K Formal Fault Tree Analysis of State Transition Systems Proceedings of the Fifth International Conference on Quality Software, (124-134)

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