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Simulator & Simulation Models for Cost-Benefit Analysis of Software Reuse Policies


P.K. Suri, Neeraj Garg


Vol. 8  No. 7  pp. 282-291


In this paper we a simulator is developed for the cost benefit analysis of the software before it is launched. Two cases are discussed . In one case the analysis is done on the basis of Bayes’ Posterior Probability theorem during the development stage of the software. The decision are made whether to go with the implementation of the reuse policy or not based on the conditions of the economic environment and the word by the consultant. In another case we have used the Decision under uncertainty principle of Laplace, Maximin(Minimax), Savage, Hurwicz criterions to reach to a certain decision that how many reusable functionalities can be added to a software so that the development costs are minimum and the profits are maximum. The different cases are simulated on the simulator which takes into consideration the various factors which effect the decision and the environmental conditions. The inputs are either generated randomly by a random number generator or can be input by user. For calculating the costs the simulator makes use of an economic model.


Software reusability, cost benefit analysis, software economic model, Bayes, posterior probability, decision under uncertainty , Laplace, Maximin(Minimax), Savage, Hurwicz criterions.