Improving Test Automation Using Genetic Algorithm

Wumi Ajayi, Owolabi Bukola, Ahmed Jolaosho


Software testing is an important step in the creation of software products. Automation is critical in the software industry because it enables software testing firms to increase their test efficiency. Researchers have worked on a variety of automated ways for producing test data to evaluate generated software with various disadvantages. This paper therefore, presented Genetic Algorithm (GA)-based test techniques to automate the development of structural-oriented test data. In this work, random test cases are first generated, then, mutates testing is applied to check it. If satisfied, then process stops. Genetic Algorithms are utilized, since they offered a technique of automatically generating test cases.


Algorithm, Automation, Industry, Genetic, Software, Technique, Test Cases, Test-Data.

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