Automated Software Testing Using Metahueristic Techniques through Logical Coverage Criteria

Parul Chaudhary; Pradeep Tomar; Sonam Bhati

doi:10.37591/jowet.v2i2.411

Abstract

Software testing is one of the major part of software system development life cycle (SDLC) and so tester have compelled for smart testing algorithms as to check the software system properly and expeditiously. Pismire colony improvement technique could be a metaheuristic technique that was initially projected by Marco Dorigo in his Ph.D. thesis in 1992. He projected a way that utterly supported the behavior of ants whereas taking their food to their colony. Aim of the this paper is to present Associate in Nursing formula by applying Associate in Nursing pismire colony improvement technique, for generation of best and bottom check sequences for behavior specification of software system. Present paper approach generates take a look at sequence so as to get the whole software system coverage. This paper conjointly discusses the comparison between 3 metaheuristic techniques (genetic algorithmic rule, random testing and hymenopteran colony optimization) and canopy logical coverage criteria as i.e., statement coverage, branch coverage and path coverage.Keywords: Software, software testing, ant colony optimization algorithm, random testing, genetic algorithm Cite this ArticleParul Chaudhary, Pradeep Tomar, Sonam Bhati. Automated Software Testing Using Metahueristic Techniques through Logical Coverage Criteria. Journal of Web Engineering & Technology. 2015; 2(2):1–5p.