Guizzo, G;
Blot, A;
Callan, J;
Petke, J;
Sarro, F;
(2021)
Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e.
In: Sarro, F and Deb, K, (eds.)
SSBSE: International Symposium on Search Based Software Engineering.
Springer: Cham, Switzerland.
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Abstract
Several tools support code templates as a means to specify searches within a program’s source code. Despite their ubiquity, code templates can often prove difficult to specify, and may produce too many or too few match results. In this paper, we present a search-based approach to support developers in specifying templates. This approach uses a suite of mutation operators to recommend changes to a given template, such that it matches with a desired set of code snippets. We evaluate our approach on the problem of inferring a code template that matches all instances of a design pattern, given one instance as a starting template.
| Type: | Proceedings paper |
|---|---|
| Title: | Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e |
| Event: | Search-Based Software Engineering (SSBSE) |
| Location: | Bari, Italy |
| Dates: | 11 October 2021 - 15 October 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-47106-8_13 |
| Publisher version: | https://doi.org/10.1007/978-3-319-47106-8_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: | Templates, Evolutionary algorithms, Recommender systems |
| 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/10131848 |
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