TY - JOUR
T1 - Multi-release software reliability assessment
T2 - testing coverage-based approach
AU - Aggarwal, Anu G.
AU - Kumar, Sudeep
AU - Gupta, Ritu
N1 - Publisher Copyright:
© 2023 Inderscience Enterprises Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85153746431
UR - https://www.scopus.com/inward/citedby.url?scp=85153746431&partnerID=8YFLogxK
U2 - 10.1504/IJMOR.2023.130122
DO - 10.1504/IJMOR.2023.130122
M3 - Article
AN - SCOPUS:85153746431
SN - 1757-5850
VL - 24
SP - 583
EP - 594
JO - International Journal of Mathematics in Operational Research
JF - International Journal of Mathematics in Operational Research
IS - 4
ER -