USP Electronic Research Repository

Optimal testing resource allocation for modular software based on a software reliability growth model: a dynamic programming approach

Khan, Mohammad G.M. and Ahmad, Nesar and Naz, Rafia (2008) Optimal testing resource allocation for modular software based on a software reliability growth model: a dynamic programming approach. [Conference Proceedings]

Full text not available from this repository.

Abstract

In this paper, two problems of optimal resource allocation to modules during testing phase are studied: (1) maximization of the number of faults removed when the amount of testing-effort is fixed, and (2) maximization of the number of faults removed satisfying a certain percentage of initial faults to be removed with a fixed amount of testing-effort. These optimization problems are formulated as nonlinear programming problems (NLPP), which are modeled by a software reliability growth model based on a non-homogeneous Poisson process which incorporated the exponentiated Weibull testing-effort functions. A solution procedure is then developed using dynamic programming technique to solve the NLPPs. Finally, numerical examples illustrate the solution procedure and the results are compared with that of Kapur et al.[1].

Item Type: Conference Proceedings
Additional Information: DOI: 10.1109/CSSE.2008.1394
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Arts, Law and Education (FALE) > School of Education
Office of the PVC (P&Q)
Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User: Users 24 not found.
Date Deposited: 08 Feb 2008 13:34
Last Modified: 16 Mar 2017 11:01
URI: http://repository.usp.ac.fj/id/eprint/4381
UNSPECIFIED

Actions (login required)

View Item