Title: Optimal testing resource allocation for software system: an approach combining interval-valued intuitionistic fuzzy sets and AHP

Authors: Rubina Mittal; Rajat Arora; Anu Gupta Aggarwal

Addresses: Keshav Mahavidyalaya, University of Delhi, Delhi, 110034, India ' Department of Operational Research, University of Delhi, Delhi, 110007, India ' Department of Operational Research, University of Delhi, Delhi, 110007, India

Abstract: Among all the phases of the software development process, testing consumes the majority of the total available resources. Therefore, it is vital to efficiently manage the testing resources for the development of quality software. In this study, we propose an approach for allocating the resources optimally among the modules of the software system considering the quality characteristics discussed in the literature. The methodology incorporates interval-valued intuitionistic fuzzy analytic hierarchy process (IVIF-AHP) in the optimisation problem to maximise the reliability of the software subject to the availability of resources. Optimisation is grounded on Weibull testing effort-dependent failure phenomenon considering change point and logistic fault reduction factor. The weights obtained for modules through IVIF-AHP are further used in prioritising them in the optimisation problem. The detailed methodology has been discussed followed by a numerical illustration.

Keywords: interval-valued intuitionistic fuzzy sets; analytic hierarchy process; AHP; resource allocation; software reliability growth model; SRGM; testing effort; optimisation.

DOI: 10.1504/IJOR.2024.142375

International Journal of Operational Research, 2024 Vol.51 No.3, pp.423 - 448

Received: 14 Sep 2021
Accepted: 19 Jan 2022
Published online: 28 Oct 2024 *

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