An optimum test stopping criterion based on software reliability modelling and Taguchi methods Online publication date: Sat, 27-Dec-2014
by Boby John
International Journal of Reliability and Safety (IJRS), Vol. 6, No. 4, 2012
Abstract: A software company will get maximum benefit from testing only when the software testing process is optimised. The decision on when to stop testing and release the software to client is very important for software service companies. A lot of research has been conducted in the past to determine the optimal testing time and many stopping criteria have been proposed for software testing. The important among them are criteria based on estimated reliability, statistical similarity and cost benefit analysis. This paper discusses an optimum test stopping criterion combining the cost benefit analysis and reliability modelling. The approach focuses on fitting various software reliability models to the data and identifying the best-fit model using Taguchi's loss function. Later on, the testing process is optimised by identifying the optimum testing effort required to detect the maximum bugs under the given cost constraint. Two case studies demonstrating the application of the proposed criterion are also presented in the paper.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Reliability and Safety (IJRS):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook