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Research on Combinatorial Test Case Generation of Safety-Critical Embedded Software

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 691))

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Abstract

With the increasing importance of embedded software in type of weapon equipment system, the complexity increasing, in many aspects, traditional design method of test cases cannot meet such kind of software measurement process of the demand for quality evaluation and testing cycle. To implement safety-critical embedded software automatic generation technology combination test research, extract the key parameters modeling combination test model, using search algorithm to automatically generate multi-dimensional parameter to cover the high quality of test cases, is a mature research direction. The purpose of this paper is to suit our own characteristics of embedded software in strategic weapons model.

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Authors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Ge Zhou, Xiang Cai, Chi Hu, Jun Li, Wenxiang Han & Xiaopin Wang

Authors
  1. Ge Zhou
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  2. Xiang Cai
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  3. Chi Hu
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  4. Jun Li
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  5. Wenxiang Han
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  6. Xiaopin Wang
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Corresponding author

Correspondence to Ge Zhou .

Editor information

Editors and Affiliations

  1. Shenyang Jianzhu University , Shenyang, China

    Feng Qiao

  2. SOA University , Bhubaneswar, India

    Srikanta Patnaik

  3. Montclair State University , Montclair, New Jersey, USA

    John Wang

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Zhou, G., Cai, X., Hu, C., Li, J., Han, W., Wang, X. (2018). Research on Combinatorial Test Case Generation of Safety-Critical Embedded Software. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-70990-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70989-5

  • Online ISBN: 978-3-319-70990-1

  • eBook Packages: EngineeringEngineering (R0)

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