The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-257
Full Name: Selvakumar S
Position: Assistant
Professor
Age: ON
Sex: Male
Address: Department of Information Technology
Country: INDIA
Tel: 9789916648
Tel prefix: 91
Fax: 914522482244
E-mail address: sselvakumar@hotmail.com
Other E-mails: sselvakumar@yahoo.com
Title of the Paper: An Empirical Evaluation Test Set Size Reduction and Fault Detection Effectiveness by CPSO
Authors as they appear in the Paper: S.Selvakumar, N.Ramaraj
Email addresses of all the authors: sselvakumar@yahoo.com
Number of paper pages: 22
Abstract: Test suite minimization is a technique that attempts to minimize the size of test suite. Since some test cases may become redundant, in order to reduce the cost and time of testing, it is necessary to purge redundant test cases based on certain criteria. This paper presents a new criterion for selecting the best test cases that cover maximum requirements. In most of the test suite minimization techniques, either the size minimization is more or the fault detection is more. But a combination of both would yield better qualified reduced test suite. This paper presents a technique where the size minimization is obtained through the optimization algorithm, Particle Swarm Optimization and the Fault Detection Effectiveness is obtained through Concept Analysis. In spite of our algorithm producing results similar to Genetic Algorithm, the computation time of our algorithm is simple and improves the fault detection capacity. The experimental results indicate that PSO outper!
forms GAs for most code elements to be covered in terms of effectiveness and efficiency.
Keywords: Test suite minimization, Concept analysis, Particle Swarm Optimization Algorithm, Empirical analysis.
EXTENSION of the file: .doc
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Organizer of the Session:
How Did you learn about congress: Software Engineering Software Testing ,Test suite minimization
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