Abstract
Search-based testing can be applied to automatically generate unit tests that achieve high levels of code coverage on object-oriented classes. However, test generation takes time, in particular if projects consist of many classes, like in the case of the Guava library. To allow search-based test generation to scale up and to integrate it better into software development, continuous test generation applies test generation incrementally during continuous integration. In this paper, we report on the application of continuous test generation with EvoSuite at the SSBSE’15 challenge on the Guava library. Our results show that continuous test generation reduces the time spent on automated test generation by 96 %, while increasing code coverage by 13.9 % on average.
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Notes
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Note that Java would allow ignoring these type parameters, but we argue that this would severely degrade the usefulness of the generated tests to developers, and might miss important coverage scenarios [5].
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Acknowledgments
This work is supported by the EPSRC project “EXOGEN” (EP/K030353/1) and by the National Research Fund, Luxembourg (FNR/P10/03).
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Campos, J., Fraser, G., Arcuri, A., Abreu, R. (2015). Continuous Test Generation on Guava. In: Barros, M., Labiche, Y. (eds) Search-Based Software Engineering. SSBSE 2015. Lecture Notes in Computer Science(), vol 9275. Springer, Cham. https://doi.org/10.1007/978-3-319-22183-0_16
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DOI: https://doi.org/10.1007/978-3-319-22183-0_16
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