期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：9
出版社：Journal of Theoretical and Applied
摘要：This paper aims at prioritization of test cases such that the testing effort reduces significantly while the code coverage remains almost the same. This is achieved by a novel Mendelian Operator based Genetic Algorithm by following two principles i.e. segregation and independent assortment of alleles. The doctrinal sense of simple GA is conceptually improved by inducing Mendel operator in the reproduction cycle. Besides the traditional genetic operators of selection, crossover and mutation, Mendels principles are included, in the form of an operator in the genetic algorithms evolution process. The proposed approach is different than the simple or conventional GA in terms of Mendels dominance, recessiveness, genotype, phenotype and the Punnett square. The results obtained have comparable coverages and are better than those of the conventional GA in terms of size of test suit. In this paper, a telemedicine project is taken for experimentation, developed for remote doctor allocation for facilitating the on line assistance to the patients.
关键词：Mendelian Operator; Genetic Algorithm; Regression Testing; Test case Prioritization
