Review of Genetic Algorithm and Application in Software Testing
Author(s) -
Patrick Kwaku,
Elias Nii,
Wolali Ametepe
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017912965
Subject(s) - computer science , software , software reliability testing , software quality , test case , regression testing , software engineering , test management approach , software construction , reliability engineering , software development , machine learning , programming language , regression analysis , engineering
The recent technological advancement and complexity of software makes it very difficult to maintain and improve the quality of software. Software testing is a technique used in validating and verifying that a develop software meets it requirements and specification hence the need to properly generate suitable test case to test programs. Software testing consumers a lot of time, effort and money, therefore the focus of testing largely depends on test case generation, execution and evaluation. Automated testing is a technique used to maximize test coverage, detect more errors, increase test execution, decrease cost as well as improving the quality of software. This paper reviews the use of Genetic algorithm to automatically generate test case using the random method.
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