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A Survey on Generation of Test Data Using Genetic Algorithm

Author(s):

Poonam , Department of Computer Science and Applications, Kurukshetra University ,Kurukshetra, India; Dr. Sanjay Tyagi, Department of Computer Science and Applications, Kurukshetra University ,Kurukshetra, India

Keywords:

Genetic Algorithm, Software Testing, Test Data Generation.

Abstract

Software testing is complex and time consuming but one of the very essential phase of the software development life cycle (SDLC). Software testing helps in analyzing the stability and quality of a software which can be achieved by suitable test data. Manually generated test data involves lot of effort due to presence of huge number of predicate nodes in a module. To reduce the high cost of manually generated test data and at the same time to increase the reliability, efficiency and effectiveness of the testing processes researchers and practitioners have tried to automate it. In this paper, we present a survey of genetic algorithm (GA) approach used for generation of test data automatically. How the GA works with the related concepts are described. On the basis of this study, new strategies to generate the test data for software testing can be devised in future.

Other Details

Paper ID: IJSRDV2I3371
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 678-681

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