Friday 22nd of September 2017
 

A Survey on Software Testing Techniques using Genetic Algorithm


Chayanika Sharma, Proffesoor. Sangeeta Sabharwal and Asst. Professor Ritu Sibal

The overall aim of the software industry is to ensure delivery of high quality software to the end user. To ensure high quality software, it is required to test software. Testing ensures that software meets user specifications and requirements. However, the field of software testing has a number of underlying issues like effective generation of test cases, prioritisation of test cases etc which need to be tackled. These issues demand on effort, time and cost of the testing. Different techniques and methodologies have been proposed for taking care of these issues. Use of evolutionary algorithms for automatic test generation has been an area of interest for many researchers. Genetic Algorithm (GA) is one such form of evolutionary algorithms. In this research paper, we present a survey of GA approach for addressing the various issues encountered during software testing

Keywords: Software testing, Genetic Algorithm

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ABOUT THE AUTHORS

Chayanika Sharma
CURRENTLY WORKING AS TEACHING CUM RESEARCH SCHOLAR IN NETAJI SUBHAS INSTITUTE OF TECHNOLOGY, DELHI UNIVERSITY

Proffesoor. Sangeeta Sabharwal
WORKING AS PROFESSOR IN IT DEPERTMENT, NETAJI SUBHAS INSTITUTE OF TECHNOLOGY

Asst. Professor Ritu Sibal
WORKING AS ASST. PROFESSOR IN NETAJI SUBHAS INSTITUTE OF TECHNOLOGY


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