A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point

Journal Title: Annals of Computer Science and Information Systems - Year 2018, Vol 14, Issue

Abstract

For evolving trustworthy software, engrossing on uncovering process of fault in software is central. Nevertheless, during testing, modifications in the testing routine, defect gravity or testing-skill maturity and working environment, there can be notable change in fault detection rate. When this sort of pattern is observed in testing time it is called change point. In this article, we inquire a resource distribution problem that optimally distributes software developing resources among modules such that the total software development cost is minimized. In this problem the effect of chief circumstantial element of change-point is considered in each module. The constraint of pulling off the desired reliability level for every individual module is also incorporated in the formulation of the problem. An algorithm based on Karush Kuhn Tucker (KKT) optimality conditions is presented to solve the resulting non-linear optimization problem. A simulated numerical illustration has been analyzed to reflect the formulation of the case and its solution by the algorithm proposed.

Authors and Affiliations

Gurjeet Kaur, Anu G. Aggarwal

Keywords

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  • EP ID EP569715
  • DOI 10.15439/2017KM11
  • Views 19
  • Downloads 0

How To Cite

Gurjeet Kaur, Anu G. Aggarwal (2018). A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point. Annals of Computer Science and Information Systems, 14(), 77-84. https://europub.co.uk/articles/-A-569715