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

Author

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  • Rubina Mittal
  • Rajat Arora
  • Anu Gupta Aggarwal

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.

Suggested Citation

  • Rubina Mittal & Rajat Arora & Anu Gupta Aggarwal, 2024. "Optimal testing resource allocation for software system: an approach combining interval-valued intuitionistic fuzzy sets and AHP," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 51(3), pages 423-448.
    • Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:423-448
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