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International Conference on System Analysis and Modeling

SAM 2014: System Analysis and Modeling: Models and Reusability pp 158–173Cite as

Acceptance Test Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8769))

Abstract

Test case generation and execution may be time and effort consuming. At a given testing phase, test case execution can be optimized by avoiding the consideration of test cases that have already been exercised in a previous phase. For instance, one can avoid test case redundancy between integration testing and acceptance testing. Characterizing this redundancy is not straightforward since some integration test cases are applied on an incomplete system with test stubs emulating system components and therefore cannot be substituted to acceptance test cases. In this paper, we propose an approach that maps acceptance test cases to integration test cases and eliminates test cases that have already been exercised on the system during the integration testing phase.

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, Concordia University, Montreal, Quebec, Canada

    Mohamed Mussa & Ferhat Khendek

Authors
  1. Mohamed Mussa
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  2. Ferhat Khendek
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Editor information

Editors and Affiliations

  1. School of Electrical Engineering and Computer Sience, University of Ottawa, 800 King Edward St., K1N 6N5, Ottawa, ON, Canada

    Daniel Amyot

  2. Department of Statistics and Operations Research, Universitat Politècnica de Catalunya - Barcelona Tech, North Campus - C5218 Room, 08034, Barcelona, Spain

    Pau Fonseca i Casas

  3. Department of Electrical and Computer Engineering, McGill University, 3480 University Street, H3A 0E9, Montreal, QC, Canada

    Gunter Mussbacher

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© 2014 Springer International Publishing Switzerland

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Mussa, M., Khendek, F. (2014). Acceptance Test Optimization. In: Amyot, D., Fonseca i Casas, P., Mussbacher, G. (eds) System Analysis and Modeling: Models and Reusability. SAM 2014. Lecture Notes in Computer Science, vol 8769. Springer, Cham. https://doi.org/10.1007/978-3-319-11743-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-11743-0_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11742-3

  • Online ISBN: 978-3-319-11743-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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