Imperfect debugging study of SRGM with fault reduction factor and multiple change point
by Madhu Jain; T. Manjula; T.R. Gulati
International Journal of Mathematics in Operational Research (IJMOR), Vol. 6, No. 2, 2014

Abstract: The present investigation deals with the software reliability growth models (SRGMs) with imperfect debugging, testing effort function (TEF) and fault reduction factor (FRF). FRF is basically defined as the net number of faults removed in proportion to the failures experienced. We propose a new scheme for constructing SRGM based on non-homogeneous Poisson process (NHPP). The concept of Weibull type testing-effort function with multiple change point has been incorporated. The main focus in the present investigation is to obtain mean value function which is further employed to explore the software reliability indices. The model parameters are estimated by least square and maximum likelihood estimation techniques. The optimal release policy based on cost, reliability and testing efforts is also suggested. Numerical results are given to illustrate the validity of analytical results.

Online publication date: Sat, 28-Jun-2014

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 Mathematics in Operational Research (IJMOR):
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