AN APPROACH TO GENERATE TEST CASES AUTOMATICALLY USING GENETIC ALGORITHM
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 6
Abstract
Software testing is a very crucial part among all phases of software life cycle model in software engineering, which leads to better software quality and reliability. The main issue of software testing is the incompleteness of testing due to the vast amount of possible test cases which increase the effort and cost of the software. So generating adequate test cases will help to reduce the effort and cost of the software. The purpose of this research paper is to automatically generate test cases using the concept of boundary value analysis and genetic algorithm and then results are compared with random testing which shows better quality of the software and outperforms random testing.
Authors and Affiliations
Deepika Sharma
Keywords
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- EP ID EP128361
- DOI 10.5281/zenodo.55533
- Views 83
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