Testing effort based SRGM and release decision under fuzzy environment
by Palak Saxena; Naveen Singh; Avinash K. Shrivastava; Vijay Kumar
International Journal of Reliability and Safety (IJRS), Vol. 15, No. 3, 2021

Abstract: Software reliability is an important measure of software quality and is described by a mathematical model known as the software reliability growth model (SRGM). Several SRGMs have been developed for software engineers and testers to evaluate software reliability, remaining number of faults, and testing release time. In this study, we have proposed testing effort based software reliability growth models (SRGMs) with Generalised Modified Weibull (GMW) distribution under fuzzy environment. During the testing process, it is likely that new faults are added known as error generation or the rate of error detection is poor due to a low degree of skilled technique known as imperfect debugging. Further, we have incorporated time dependent rate function in our model and have calculated model parameter using Statistical Package for Social Sciences (SPSS). Moreover, we have also discussed the release time of the software using SRGM and optimum value of reliability of the software under uncertainty in parameters. Numerical illustration on a real life data set is done to validate the results.

Online publication date: Tue, 07-Jun-2022

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