Abstract
Under the schedule pressure and resource limitations, developing a reliable software is of great concern for the software development firms. In order to capture the combined effect of these finite resources and limited testing time in determining the growth of testing progress a two dimensional modeling framework is required. In this paper we propose a two-dimensional software reliability growth model which takes into consideration both these factors in predicting number of faults removed from software. We have used Cobb Douglas production function to develop the model. Further, the proposed two dimensional modeling framework is applied for determining optimal allocation of testing time and resources simultaneously to a modular software system. There exists an extensive literature in software engineering on optimal allocation of either testing time or resources among modules. However, for a software development firm it would be more advantageous if they could concurrently allocate time and resources optimally to modular software product. In this paper we investigate such a two dimensional optimization problem which assigns testing time and manpower resources among the modules so that the total software development cost is minimized under the constraint of achieving pre defined proportion of faults removal from each module. In order to solve the formulated allocation problem a two dimensional genetic algorithm is proposed in the paper. Finally, a numerical example is presented to illustrate the formulation and solution of the allocation problem.
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Kapur, P.K., Aggarwal, A.G. & Kaur, G. Simultaneous allocation of testing time and resources for a modular software. Int J Syst Assur Eng Manag 1, 351–361 (2010). https://doi.org/10.1007/s13198-011-0039-8
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DOI: https://doi.org/10.1007/s13198-011-0039-8