The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 54-135
Full Name: Manoj Pachariya
Position: Assistant Professor
Age: ON
Sex: Male
Address: Department of Computer Application, Galgotias University, Gr. Noida (UP)
Country: INDIA
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E-mail address: m_pachariya1@yahoo.com
Other E-mails: manoj.pachariya@galgotiasuniversity.edu.in
Title of the Paper: Optimization of Test Cases using Soft Computing Techniques: A Critical Review
Authors as they appear in the Paper: Manoj Kumar#1 Arun Sharma2 Rajesh Kumar3
Email addresses of all the authors: m_pachariya1@yahoo.com
Number of paper pages: 13
Abstract: Software testing is the key technology for evaluating the fault detecting capability quantitatively. Software testing is very labor-intensive and expensive process. It is a core activity in quality assurance. Test cases minimization, selection, prioritization forms common thread of optimization. Test case optimization is a multi-objective optimization, peculiar nature and NP-Complete problem. However, by applying appropriate test case optimization techniques, these efforts can be reduced considerably. Moreover, by using the multi-objective optimization of test cases with test data adequacy criteria and automation of testing process will help in improving the overall quality of the software. Present paper gives the insight into existing single objective test cases optimization techniques such as Genetic Algorithms, Ant Colony Optimization, Hybrid Genetic, Intelligent Search Agent Techniques, Particle Swan Optimization, Graph based Intelligent Techniques, Hybridizati!
on of Soft Computing techniques devised by various researchers or practitioners by using single parameter like number of defect detecting capability, cost, efforts, coveragebility of requirement/ code and quality of the results. In addition to this, it highlights some research issues relating to above.
Keywords: Multi-Objective Optimization, Soft Computing Techniques, Test Cases, Test Data Adequacy Criteria.
EXTENSION of the file: .doc
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