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SmartTestGen+: A Test Suite Booster for Enhanced Structural Coverage

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Theoretical Aspects of Computing – ICTAC 2012 (ICTAC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7521))

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Abstract

Our work concerns with test case generation for structural coverage of Simulink/Stateflow (SL/SF) models. We have developed a tool called SmartTestGen which integrates multiple test generation techniques; experiments show that this tool performs better than some commercial tools. In this paper, we discuss a novel experiment. SmartTestGen uses random testing as one of the testing techniques. The random testing component first generates random test cases; the tool then extends these test cases to cover the uncovered targets. In our experiment, instead of using the random test cases as the initial seed, we use the test cases of an existing test suite. We have evaluated the impact of this modified testing process by considering 20 industrial strength SL/SF models.

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References

  1. The Mathworks, http://www.mathworks.com

  2. Reactis, http://www.reactive-systems.com

  3. Satpathy, M., Yeolekar, A., Ramesh, S.: Randomized Directed Testing (REDIRECT) for Simulink/Stateflow Models. In: ACM EMSOFT 2008, Atlanta (2008)

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  4. The Mathworks, Verification and Validation Tool Box, http://www.mathworks.com/verification-validation/

  5. Paranandam, P., et al.: An Integrated Test Generation Tool for coverage of Simulink/Stateflow Models. In: Proc. of IEEE DATE 2012 (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Raviram, S., Peranandam, P., Satpathy, M., Ramesh, S. (2012). SmartTestGen+: A Test Suite Booster for Enhanced Structural Coverage. In: Roychoudhury, A., D’Souza, M. (eds) Theoretical Aspects of Computing – ICTAC 2012. ICTAC 2012. Lecture Notes in Computer Science, vol 7521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32943-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-32943-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32942-5

  • Online ISBN: 978-3-642-32943-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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