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Dorylus: An Ant Colony Based Tool for Automated Test Case Generation

Bruce, D; Menéndez, HD; Clark, D; (2019) Dorylus: An Ant Colony Based Tool for Automated Test Case Generation. In: Lecture Notes in Computer Science. (pp. pp. 171-180). Springer: Tallinn, Estonia. Green open access

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Abstract

Automated test generation to cover all branches within a program is a hard task. We present Dorylus, a test suite generation tool that uses ant colony optimisation, guided by coverage. Dorylus constructs a continuous domain over which it conducts independent, multiple objective search that employs a lightweight, dynamic, path-based input dependency analysis. We compare Dorylus with EvoSuite with respect to both coverage and speed using two corpora. The first benchmark contains string based programs, where our results demonstrate that Dorylus improves over EvoSuite on branch coverage and is 50% faster on average. The second benchmark consists of 936 Java programs from SF110 and suggests Dorylus generalises well as it achieves 79% coverage on average whereas the best performing of three EvoSuite algorithms reaches 89%.

Type: Proceedings paper
Title: Dorylus: An Ant Colony Based Tool for Automated Test Case Generation
Event: SSBSE 2019 - International Symposium on Search Based Software Engineering
ISBN-13: 9783030274542
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-27455-9_13
Publisher version: https://doi.org/10.1007/978-3-030-27455-9_13
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Search-based testing · Automated test case generation · Ant colony optimisation · Dorylus.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10084809
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