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Parallel Software Testing Sequence Generation Method Target at Full Covering Tested Behaviors

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Algorithms and Architectures for Parallel Processing (ICA3PP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11945))

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Abstract

Parallel software system testing is very difficult because the number of states expands sharply caused by parallel behaviors. In this paper, a testing sequence generation method is proposed, target at full covering tested behaviors and related behaviors over all execution paths. Because of state spaces of parallel software systems are often large, this paper focuses on the state space sub-graph, contained all firing of tested and related behaviors, of system model. Firstly, the software system is modeled with Colored Petri Net (CPN), called system model (SM), and every tested behavior or related behavior is modeled also with CPN, called Behavior Model Unit (BMU). Then, the method proposes mapping operation, intersection operation, and so on to finally realize the generation of test sequence. Practices show that this method is efficient, which could achieve full coverage.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China under Grant No. 61562064 and No. 61661041.

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Correspondence to Tao Sun .

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Sun, T., Wan, X., Zhong, W., Guo, X., Zhang, T. (2020). Parallel Software Testing Sequence Generation Method Target at Full Covering Tested Behaviors. In: Wen, S., Zomaya, A., Yang, L.T. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2019. Lecture Notes in Computer Science(), vol 11945. Springer, Cham. https://doi.org/10.1007/978-3-030-38961-1_6

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  • DOI: https://doi.org/10.1007/978-3-030-38961-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38960-4

  • Online ISBN: 978-3-030-38961-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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