Petke, J;
Le Goues, C;
Forrest, S;
Langdon, WB;
(2018)
Genetic Improvement of Software (Dagstuhl Seminar 18052).
In:
Dagstuhl Reports.
(pp. pp. 158-182).
Dagstuhl Publishing
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Abstract
We document the program and the immediate outcomes of Dagstuhl Seminar 18052 “Genetic Improvement of Software”. The seminar brought together researchers in Genetic Improvement (GI) and related areas of software engineering to investigate what is achievable with current technology and the current impediments to progress and how GI can affect the software development process. Several talks covered the state-of-the-art and work in progress. Seven emergent topics have been identified ranging from the nature of the GI search space through benchmarking and practical applications. The seminar has already resulted in multiple research paper publications. Four by participants of the seminar will be presented at the GI workshop co-located with the top conference in software engineering - ICSE. Several researchers started new collaborations, results of which we hope to see in the near future.
| Type: | Proceedings paper |
|---|---|
| Title: | Genetic Improvement of Software (Dagstuhl Seminar 18052) |
| Event: | Dagstuhl Seminar 18052 |
| Dates: | January 28–February 2, 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.4230/DagRep.8.1.158 |
| Publisher version: | http://drops.dagstuhl.de/opus/frontdoor.php?source... |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 3.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
| Keywords: | genetic improvement GI, search-based software engineering SBSE, software optimisation, evolutionary improvement, automated software improvement, automated program repair, evolutionary computation, genetic programming, GP |
| 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/10066160 |
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