A Testing Coverage Based SRGM Subject to the Uncertainty of the Operating Environment

The number of software failures, software reliability, and failure rates can be measured and predicted by the software reliability growth model (SRGM). SRGM is developed and tested in a controlled environment where the operating environment is different. Many SRGMs have developed, assuming that the...

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Bibliographic Details
Published inComputer sciences & mathematics forum Vol. 7; no. 1; p. 44
Main Authors Sujit Kumar Pradhan, Anil Kumar, Vijay Kumar
Format Journal Article
LanguageEnglish
Published MDPI AG 01.04.2023
Subjects
mean value function (MVF)
operating environment
software reliability growth model (SRGM)
testing coverage
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Summary:The number of software failures, software reliability, and failure rates can be measured and predicted by the software reliability growth model (SRGM). SRGM is developed and tested in a controlled environment where the operating environment is different. Many SRGMs have developed, assuming that the working and developing environments are the same. In this paper, we have developed a new SRGM incorporating the imperfect debugging and testing coverage function. The proposed model’s parameters are estimated from two real datasets and compared with some existing SRGMs based on five goodness-of-fit criteria. The results show that the proposed model gives better descriptive and predictive performance than the existing selected models.
ISSN:2813-0324
DOI:10.3390/IOCMA2023-14436