Continuous test generation: enhancing continuous integration with automated test generation

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

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

Conference proceedings International

Title: ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

Pages: 55-66

29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014

15 September 2014 through 19 September 2014

Indexing

Scopus - 39 Citations

Other information

Authenticus ID: P-00A-6N4

DOI: 10.1145/2642937.2643002

Abstract (EN): In object oriented software development, automated unit test generation tools typically target one class at a time. A class, however, is usually part of a software project consisting of more than one class, and these are subject to changes over time. This context of a class offers significant potential to improve test generation for individual classes. In this paper, we introduce Continuous Test Generation (CTG), which includes automated unit test generation during continuous integration (i.e., infrastructure that regularly builds and tests software projects). CTG offers several benefits: First, it answers the question of how much time to spend on each class in a project. Second, it helps to decide in which order to test them. Finally, it answers the question of which classes should be subjected to test generation in the first place. We have implemented CTG using the EvoSuite unit test generation tool, and performed experiments using eight of the most popular open source projects available on GitHub, ten randomly selected projects from the SF100 corpus, and five industrial projects. Our experiments demonstrate improvements of up to +58% for branch coverage and up to +69% for thrown undeclared exceptions, while reducing the time spent on test generation by up to +83%.

Language: English

Type (Professor's evaluation): Scientific