An, G;
Blot, A;
Petke, J;
Yoo, S;
(2019)
PyGGI 2.0: Language independent genetic improvement framework.
In:
Proceedings of the 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2019.
(pp. pp. 1100-1104).
ACM: New York (NY), USA.
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Abstract
PyGGI is a research tool for Genetic Improvement (GI), that is designed to be versatile and easy to use. We present version 2.0 of PyGGI, the main feature of which is an XML-based intermediate program representation. It allows users to easily define GI operators and algorithms that can be reused with multiple target languages. Using the new version of PyGGI, we present two case studies. First, we conduct an Automated Program Repair (APR) experiment with the QuixBugs benchmark, one that contains defective programs in both Python and Java. Second, we replicate an existing work on runtime improvement through program specialisation for the MiniSAT satisfiability solver. PyGGI 2.0 was able to generate a patch for a bug not previously fixed by any APR tool. It was also able to achieve 14% runtime improvement in the case of MiniSAT. The presented results show the applicability and the expressiveness of the new version of PyGGI. A video of the tool demo is at: https://youtu.be/PxRUdlRDS40.
| Type: | Proceedings paper |
|---|---|
| Title: | PyGGI 2.0: Language independent genetic improvement framework |
| Event: | The 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2019 |
| Location: | Tallinn, Estonia |
| Dates: | 26th-30th August 2019 |
| ISBN-13: | 978-1-4503-5572-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3338906.3341184 |
| Publisher version: | https://dx.doi.org/10.1145/3338906.3341184 |
| 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: | Software and its engineering, Software creation and management, Search-based software engineering |
| 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/10082880 |
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