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http://hdl.handle.net/1893/33545| Appears in Collections: | Computing Science and Mathematics Journal Articles |
| Peer Review Status: | Unrefereed |
| Title: | Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant |
| Author(s): | Brownlee, Alexander |
| Contact Email: | alexander.brownlee@stir.ac.uk |
| Issue Date: | Oct-2021 |
| Date Deposited: | 29-Oct-2021 |
| Citation: | Brownlee A (2021) Genetic Improvement @ ICSE 2021: Personal reflection of a Workshop Participant. ACM SIGSOFT Software Engineering Notes, 46 (4), pp. 28-30. https://doi.org/10.1145/3485952.3485960 |
| Abstract: | Following Dr. Stephanie Forrest of Arizona State University’s keynote presentation there was a wide ranging discussion at the tenth international Genetic Improvement workshop, GI-2021 @ ICSE (held as part of the International Conference on Software Engineering on Sunday 30 th May 2021). Topics included a growing range of target systems and applications, algorithmic improvements, wide-ranging questions about how other fields (especially evolutionary computation) can inform advances in GI, and about how GI is ‘branded’ to other disciplines. We give a personal perspective on the workshop’s proceedings, the discussions that took place, and resulting prospective directions for future research. |
| DOI Link: | 10.1145/3485952.3485960 |
| Rights: | © ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM SIGSOFT Software Engineering Notes, 46 (4), pp. 28-30, Oct 2021 http://doi.acm.org/10.1145/3485952.3485960 |
| Licence URL(s): | https://storre.stir.ac.uk/STORREEndUserLicence.pdf |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| GI_ICSE2021_Reflections.pdf | Fulltext - Accepted Version | 2.32 MB | Adobe PDF | View/Open |
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