NATURE INSPIRED ALGORITHMS FOR TEST SUITE OPTIMIZATION FOR REGRESSION TESTING: AN INVESTIGATION
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2018, Vol 8, Issue 3
Abstract
Software Testing is one of the expensive activities in software development. But at the same time, it will assure the quality of the software product. Software testing will take more cost and maximum time which actually increases the cost of the product as well as wastage of time. We have investigated various approaches proposed to addresses the problems in test suite optimization using nature-inspired algorithms. Such problems can be solved using nature-inspired algorithms. This approach is based on Genetic Algorithm, Particle Swarm Optimization, Memetic Algorithm is investigated. The results obtained by different researchers are collected and comparative analysis is prescribed and listed.
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