Volume 9 Number 2 (Feb. 2014)
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JSW 2014 Vol.9(2): 358-364 ISSN: 1796-217X
doi: 10.4304/jsw.9.2.358-364

An Intelligent Method Based on State Space Search for Automatic Test Case Generation

Ying Xing1, 2, Junfei Huang1, Yunzhan Gong1, Yawen Wang1, Xuzhou Zhang1
1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
2School of Electronic and Information Engineering, Liaoning Technical University, Huludao, China

Abstract—Search-Based Software Testing reformulates testing as search problems so that test case generation can be automated by some chosen search algorithms. This paper reformulates path-oriented test case generation as a state space search problem and proposes an intelligent method Best-First-Search Branch & Bound to solve it, utilizing the algorithms of Branch & Bound and Backtrack to search the space of potential test cases and adopting bisection to lower the bounds of the search space. We also propose an optimization method by removing irrelevant variables. Experiments show that the proposed search method generates test cases with promising performance and outperforms some MetaHeuristic Search algorithms.

Index Terms—Search-Based Software Testing, test case generation, Branch & Bound, backtrack, state space search, bisection


Cite: Ying Xing, Junfei Huang, Yunzhan Gong, Yawen Wang, Xuzhou Zhang, "An Intelligent Method Based on State Space Search for Automatic Test Case Generation," Journal of Software vol. 9, no. 2, pp. 358-364, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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