Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
Software defect and operational profile modeling
Software defect and operational profile modeling
Towards a conceptual framework of software run reliability modeling
Information Sciences—Informatics and Computer Science: An International Journal
Prioritizing Test Cases For Regression Testing
IEEE Transactions on Software Engineering
Software Reliability
Predicting Software Reliability
Computer
Analyzing software science data with partial repeatability
Journal of Systems and Software
Analysis of error processes in computer software
Proceedings of the international conference on Reliable software
Empirical Evaluation of the Textual Differencing Regression Testing Technique
ICSM '98 Proceedings of the International Conference on Software Maintenance
Successful Application of Software Reliability Engineering for the NASA Space Shuttle
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Adaptive software testing with fixed-memory feedback
Journal of Systems and Software
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
A theory of software reliability and its application
IEEE Transactions on Software Engineering
Software execution processes as an evolving complex network
Information Sciences: an International Journal
Mathematical modeling of software reliability testing with imperfect debugging
Computers & Mathematics with Applications
A cost analysis of systems subject to random field environments and reliability
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An approach for early prediction of software reliability
ACM SIGSOFT Software Engineering Notes
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It is widely believed in software reliability community that software reliability growth behavior follows a non-homogeneous Poisson process (NHPP) based on analyzing the behavior of the mean of the cumulative number of observed software failures. In this paper we present two controlled software experiments to examine this belief. The behavior of the mean of the cumulative number of observed software failures and that of the corresponding variance are examined simultaneously. Both empirical observations and statistical hypothesis testing suggest that software reliability behavior does not follow a non-homogeneous Poisson process in general, and does not fit the Goel-Okumoto NHPP model in particular. Although this new finding should be further tested on other software experiments, it is reasonable to cast doubt on the validity of the NHPP framework for software reliability modeling. The importance of the work presented in this paper is not only for the new finding which is distinctly different from existing popular belief of software reliability modeling, but also for the adopted research approach which is to examine the behavior of the mean and that of the corresponding variance simultaneously on basis of controlled software experiments.