Research output per year
Research output per year
Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie Van Deursen
Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Approaches for automatic crash reproduction aim to generate test cases that reproduce crashes starting from the crash stack traces. These tests help developers during their debugging practices. One of the most promising techniques in this research field leverages search-based software testing techniques for generating crash reproducing test cases. In this paper, we introduce Botsing, an open-source search-based crash reproduction framework for Java. Botsing implements state-of-the-art and novel approaches for crash reproduction. The well-documented architecture of Botsing makes it an easy-to-extend framework, and can hence be used for implementing new approaches to improve crash reproduction. We have applied Botsing to a wide range of crashes collected from open source systems. Furthermore, we conducted a qualitative assessment of the crash-reproducing test cases with our industrial partners. In both cases, Botsing could reproduce a notable amount of the given stack traces.Demo. video: https://www.youtube.com/watch?v=k6XaQjHqe48 Botsing website: https://stamp-project.github.io/botsing.
Original language | English |
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Title of host publication | Proceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020 |
Publisher | ACM Press |
Pages | 1278-1282 |
Number of pages | 5 |
ISBN (Electronic) | 9781450367684 |
DOIs | |
Publication status | Published - Sept 2020 |
Externally published | Yes |
Event | 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020 - Virtual, Melbourne, Australia Duration: 22 Sept 2020 → 25 Sept 2020 |
Name | Proceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020 |
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Conference | 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020 |
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Country/Territory | Australia |
City | Virtual, Melbourne |
Period | 22/09/20 → 25/09/20 |
Research output: Non-textual form › Software
Derakhshanfar, P. (Creator), Devroey, X. (Creator) & Soltani, M. (Contributor), Zenodo, 26 Apr 2020
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