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The most significant activity in software development is to develop projects within confined time and budget. As accuracy plays a vital role for software system. Prediction of effort estimation is one of the critical tasks required for developing software. In this paper, the authors perform the performance study of fuzzy logic and genetic algorithm to make an intelligent application for the purpose of predicting cost and time. On the basis of following parameters in terms of accuracy, memory used, search time, build time and error rate performance study of these two algorithms is accomplished. The above approach helps in the reduction of effort estimation for the efficient development of software.
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