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Discrete Program-Size Dependent Software Reliability Assessment: Modeling, Estimation, and Goodness-of-Fit Comparisons Shinji INOUE Shigeru YAMADA Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E90-A No.12 pp.2891-2902 Publication Date: 2007/12/01 Online ISSN: 1745-1337 DOI: 10.1093/ietfec/e90-a.12.2891 Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Reliability, Maintainability and Safety Analysis Keyword: software reliability assessment, modeling framework, program size, discrete Weibull distribution, heuristic parameter estimation algorithm, goodness-of-fit, Full Text: PDF(470.3KB)>>
Summary: 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. | ||||||||||
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