Abstract :
[en] Search-based testing can be applied to automatically gener-
ate 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 SS-
BSE'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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