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A random search based effective algorithm for pairwise test data generation

Sabira, Khatun and K. F., Rabbi and Che Yahaya, Yaakub and Klaib, Mohammad F. J. (2011) A random search based effective algorithm for pairwise test data generation. In: 1st International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011)., 21-22 June 2011 , Hyatt Regency, Kuantan, Pahang, Malaysia. pp. 293-297.. ISBN 978-1-61284-229-5

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Abstract

Testing is a very important task to build error free software. As the resources and time to market is limited for a software product, it is impossible to perform exhaustive test i.e., to test all combinations of input data. To reduce the number of test cases in an acceptable level, it is preferable to use higher interaction level (t way, where t ≥ 2). Pairwise (2-way or t = 2) interaction can find most of the software faults. This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. Java program has been used to test the performance of the algorithm. The algorithm is able to support both uniform and non-uniform values effectively with performance better than the existing algorithms/tools in terms of number of generated test cases and time consumption.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Combinatorial interaction testing; Software testing; Pairwise testing; Test case generation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 07 Feb 2020 07:23
Last Modified: 07 Feb 2020 07:23
URI: http://umpir.ump.edu.my/id/eprint/26203
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