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A Fine-Grained Parallel Multi-objective Test Case Prioritization on GPU

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Search Based Software Engineering (SSBSE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8084))

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Abstract

Multi-Objective Evolutionary Algorithms (MOEAs) have been widely used to address regression test optimization problems, including test case selection and test suite minimization. GPU-based parallel MOEAs are proposed to increase execution efficiency to fulfill the industrial demands. When using binary representation in MOEAs, the fitness evaluation can be transformed a parallel matrix multiplication that is implemented on GPU easily and more efficiently. Such GPU-based parallel MOEAs may achieve higher level of speed-up for test case prioritization because the computation load of fitness evaluation in test case prioritization is more than that in test case selection or test suite minimization. However, the non-applicability of binary representation in the test case prioritization results in the challenge of parallel fitness evaluation on GPU. In this paper, we present a GPU-based parallel fitness evaluation and three novel parallel crossover computation schemes based on ordinal and sequential representations, which form a fine-grained parallel framework for multi-objective test case prioritization. The empirical studies based on eight benchmarks and one open source program show a maximum of 120x speed-up achieved.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Beijing University of Chemical Technology, Beijing, 100029, P.R. China

    Zheng Li, Yi Bian & Ruilian Zhao

  2. Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 401122, P.R. China

    Jun Cheng

Authors
  1. Zheng Li
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  2. Yi Bian
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  3. Ruilian Zhao
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  4. Jun Cheng
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Editor information

Editors and Affiliations

  1. University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, AB, Canada

    Günther Ruhe

  2. Department of Computer Science, University Colleage London, Gower Street, WC1E 6BT, London, UK

    Yuanyuan Zhang

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Li, Z., Bian, Y., Zhao, R., Cheng, J. (2013). A Fine-Grained Parallel Multi-objective Test Case Prioritization on GPU. In: Ruhe, G., Zhang, Y. (eds) Search Based Software Engineering. SSBSE 2013. Lecture Notes in Computer Science, vol 8084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39742-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-39742-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39741-7

  • Online ISBN: 978-3-642-39742-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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