Exponential order statistic models of software reliability growth
IEEE Transactions on Software Engineering
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
IEEE Transactions on Software Engineering
A Validation of the Component-Based Method for Software Size Estimation
IEEE Transactions on Software Engineering - special section on current trends in exception handling—part II
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Software Reliability
A Unified Scheme of Some Nonhomogenous Poisson Process Models for Software Reliability Estimation
IEEE Transactions on Software Engineering
Discrete Equations and Software Reliability Growth Models
ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
Introduction to Probability Models, Ninth Edition
Introduction to Probability Models, Ninth Edition
Software Reliability Models: Assumptions, Limitations, and Applicability
IEEE Transactions on Software Engineering
Software Reliability Growth Modeling: Models and Applications
IEEE Transactions on Software Engineering
Discrete software reliability assessment with discretized NHPP models
Computers & Mathematics with Applications
EM algorithm for discrete software reliability models: a unified parameter estimation method
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
Generalized Discrete Software Reliability Modeling With Effect of Program Size
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper we propose a discrete program-size dependent software reliability growth model flexibly describing the software failure-occurrence phenomenon based on a discrete Weibull distribution. We also conduct model comparisons of our discrete SRGM with existing discrete SRGMs by using actual data sets. The program size is one of the important metrics of software complexity. It is known that flexible discrete software reliability growth modeling is difficult due to the mathematical manipulation under a conventional modeling-framework in which the time-dependent behavior of the cumulative number of detected faults is formulated by a difference equation. Our discrete SRGM is developed under an existing unified modeling-framework based on the concept of general order-statistics, and can incorporate the effect of the program size into software reliability assessment. Further, we discuss the method of parameter estimation, and derive software reliability assessment measures of our discrete SRGM. Finally, we show numerical examples of discrete software reliability analysis based on our discrete SRGM by using actual data.