Continuous test generation on Guava

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

José Campos (Author) Other; Fraser, G (Author) Other; Arcuri, A (Author) Other; Rui Abreu (Author) FEUP

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 228-234

7th International Symposium on Search-Based Software Engineering, SSBSE 2015

5 September 2015 through 7 September 2015

Indexing

Scopus - 3 Citations

Other information

Authenticus ID: P-00G-T1C

DOI: 10.1007/978-3-319-22183-0_16

Abstract (EN): 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. © Springer International Publishing Switzerland 2015.

Language: English

Type (Professor's evaluation): Scientific