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Continuous Test Generation on Guava
Campos, Jose; Fraser, Gordon; Arcuri, Andrea et al.
2015In Symposium on Search-Based Software Engineering (SSBSE)
Peer reviewed
 

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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.
Disciplines :
Computer science
Author, co-author :
Campos, Jose
Fraser, Gordon
Arcuri, Andrea;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Rui, Abreu
External co-authors :
yes
Language :
English
Title :
Continuous Test Generation on Guava
Publication date :
2015
Event name :
Symposium on Search-Based Software Engineering (SSBSE)
Event date :
September 5-7, 2015
Main work title :
Symposium on Search-Based Software Engineering (SSBSE)
Publisher :
Springer
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 29 June 2015

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