Software Reliability Models and Multi-attribute Utility Function Based Strategic Decision for Release Time Optimization

Vishal Pradhan (), Joydip Dhar and Ajay Kumar
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Vishal Pradhan: ABV-Indian Institute of Information Technology and Management Gwalior
Joydip Dhar: ABV-Indian Institute of Information Technology and Management Gwalior
Ajay Kumar: ABV-Indian Institute of Information Technology and Management Gwalior

A chapter in Predictive Analytics in System Reliability, 2023, pp 175-190 from Springer

Abstract: Abstract The software industry is working hard to keep up with these rapid changes by devising methods to increase the pace of their work without compromising software quality and reliability. Various factors, such as the testing environment, testing strategy, and resource allocation, can influence the optimal release time. The choice of whether or not to release a software product would become much more complicated and significant. When a software developer, clients, or end-users face significant potential financial losses, a decision has strategic significance. A software release decision is a trade-off between early release to take advantage of an earlier market launch and product release deferral to ensure reliability. If a software product is released too soon, the software developer must pay for post-release costs to correct bugs. To decide the best software release time, two attributes, reliability and cost, must be combined. This study discusses a realistic approach to determining when to stop software testing that considers reliability and cost. A multi-attribute utility theory-based proposed decision model is analyzed on various separate weighted combinations of utility functions.

Keywords: Software reliability growth model; Multi-attribute utility function; Optimal release time; Non-homogeneous poisson process (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-05347-4_12

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DOI: 10.1007/978-3-031-05347-4_12

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