Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)when quoting this document, please refer to the following
DOI: 10.4230/DagRep.8.1.158
URN: urn:nbn:de:0030-drops-92878
URL: https://drops.dagstuhl.de/opus/volltexte/2018/9287/
Petke, Justyna ; Le Goues, Claire ; Forrest, Stephanie ; Langdon, William B.
Weitere Beteiligte (Hrsg. etc.): Justyna Petke and Claire Le Goues and Stephanie Forrest and William B. Langdon
Genetic Improvement of Software (Dagstuhl Seminar 18052)
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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 inprogress. 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.
BibTeX - Entry
@Article{petke_et_al:DR:2018:9287,
author = {Justyna Petke and Claire Le Goues and Stephanie Forrest and William B. Langdon},
title = {{Genetic Improvement of Software (Dagstuhl Seminar 18052)}},
pages = {158--182},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2018},
volume = {8},
number = {1},
editor = {Justyna Petke and Claire Le Goues and Stephanie Forrest and William B. Langdon},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9287},
URN = {urn:nbn:de:0030-drops-92878},
doi = {10.4230/DagRep.8.1.158},
annote = {Keywords: genetic improvement GI, search-based software engineering SBSE, software optimisation, evolutionary improvement, automated software improvement, }
}
| Keywords: | genetic improvement GI, search-based software engineering SBSE, software optimisation, evolutionary improvement, automated software improvement, | |
| Freie Schlagwörter (englisch): | automated program repair, evolutionary computation, genetic programming, GP | |
| Seminar: | Dagstuhl Reports, Volume 8, Issue 1 | |
| Issue date: | 2018 | |
| Date of publication: | 20.07.2018 |
