A fuzzy optimisation approach for software reliability estimation
by Boby John; Rajeshwar S. Kadadevaramath; Immanuel A. Edinbarough
International Journal of Business and Systems Research (IJBSR), Vol. 13, No. 2, 2019

Abstract: Many organisations today utilise information technology to gain competitive advantage. As a result, information technology industry has witnessed extraordinary growth. Many times the software companies compromise on software testing to avoid cost or schedule overrun. This might make the software unreliable. Hence, it is imperative for the software firms to estimate the reliability of the software and ensure that their products are reliable. A wide range of models is available for reliability prediction. But there is not a single model suitable for all software products. Hence, it is necessary to identify the best-suited software reliability model for every software product. Unfortunately, the best fit model identification depends on the performance characteristics used for selecting the model. In this paper, the authors suggest a fuzzy optimisation methodology to choose the best software reliability model based on multiple performance characteristics. Two case studies demonstrating the proposed methodology are also presented in the paper.

Online publication date: Fri, 29-Mar-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business and Systems Research (IJBSR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com