Survey on Automated Test Data Generation
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10.5120/18984-9353 |
Manpreet Kaur Brar and Sushil Garg. Article: Survey on Automated Test Data Generation. International Journal of Computer Applications 108(15):1-4, December 2014. Full text available. BibTeX
@article{key:article,
author = {Manpreet Kaur Brar and Sushil Garg},
title = {Article: Survey on Automated Test Data Generation},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {108},
number = {15},
pages = {1-4},
month = {December},
note = {Full text available}
}
Abstract
Testing is the process to check the program with the aim to detect errors. Software testing is an expensive and challenging process, typically consuming at least 50% of the total development cost and 35% of total development time. The critical step of software testing is automated test data generation. Automated test data generation scheme generate optimum set of test data automatically on the basis of test data adequacy criteria. The goal of this contribution is to summarize the major techniques in recognizing the automated test data generation. The main objective of this paper is to look into the current research in the automated test data generation, various metaheuristics techniques (ACO, PSO, GA, SA etc. ) and hybridization of these metaheuristics techniques (ACSGA , GAPSO etc. ) all these topics have been discussed so far to mitigate the errors in the software.
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