An effective software reliability growth model. Issue 4 (2nd October 2021)

• Record Type: Journal Article
• Authors: Haque, Md. Asraful; Ahmad, Nesar
• Is Part Of: Safety & reliability. Volume 40:Issue 4(2021)
• Page Start: 209
• Page End: 220
• Publication Date: 2021-10-02
• Subjects: Software Reliability -- SRGM -- Software Testing -- Debugging -- Project Management; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Risk assessment -- Periodicals; Industrial safety -- Periodicals; Industrial safety; Reliability (Engineering); Risk assessment; System safety; Electronic journals; Periodicals; 620.00452
• DOI: 10.1080/09617353.2021.1921547
• Languages: English
• ISSNs: 0961-7353

Abstract

Abstract: Reliability is an end-user quality feature related to system usage. Software reliability modelling has gained a lot of importance due to the growing need for high-quality software. The paper presents a new Software reliability growth model (SRGM) following the structure of the logistic growth model. As testing progresses, the skill of testing team will improve which will lead to higher fault detection rate. We incorporate this factor with the help of a time-dependent fault detection rate function suggested in Generalised Goel model. The model is applied to three different widely used software failure datasets. Four different performance criteria namely MSE (Mean Square Error), Variance, PRR (Predictive Ratio Risk) and R 2 have been used to analyse the model. The model fits significantly better than other existing models.