Multi-release software reliability assessment: testing coverage-based approach

Anu G. Aggarwal, Sudeep Kumar, Ritu Gupta*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Software development companies continue to improve their products to stay up with the market's growing needs by adding new features and fixing previously identified bugs. Software reliability growth models (SRGMs) with testing effort function are the incredibly valuable and have been widely utilised by software engineers. Many researchers have built SRGMs that incorporate the concept testing coverage in the model building for the multi-release software system. The proposed model intends to give three different models of multi-release software reliability modelling with testing coverage function. Three models describe testing coverage by exponential function, delayed S-shaped function and logistic function respectively, with the testing effort function assumed to be Weibull in nature. Real-world data is used to estimate parameters in order to validate the proposed SRGM of four releases from Tandem Computers and the model goodness-of-fit is assessed. The results suggest that the proposed model matches the failure data effectively.

Original languageEnglish
Pages (from-to)583-594
Number of pages12
JournalInternational Journal of Mathematics in Operational Research
Volume24
Issue number4
DOIs
Publication statusPublished - 2023

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • Modelling and Simulation

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