A software reliability growth model considering testing coverage subject to field environment
Sulekha Rani,
Priyanka Agarwal,
Madhu Jain and
Rahul Solanki
International Journal of Mathematics in Operational Research, 2021, vol. 18, issue 2, 145-153
Abstract:
Software reliability growth models are the basic models which predict essential information such as software cost and reliability required for the software development activities. It was assumed that the software behave in the field in the same way as they perform during testing but this assumption may not be true in every situation. In this paper, we discuss such a software reliability growth model which will predict the reliability according to the field environment incorporating two types of S-shaped testing coverage factors. Total expected cost (with warranty and risk cost) and optimal release time for the proposed reliability growth model is proposed. Numerical results using software 'MATLAB' help the software engineers for making their best decision.
Keywords: NHPP based SRGM; testing coverage; expected cost; risk cost. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=112944 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:18:y:2021:i:2:p:145-153
Access Statistics for this article
More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().