Approach to learning production rules for grammar-based functional design
dc.contributor.author | Eichhoff, Julian R. | |
dc.contributor.author | Roller, Dieter | |
dc.contributor.editor | Plödereder, E. | |
dc.contributor.editor | Grunske, L. | |
dc.contributor.editor | Schneider, E. | |
dc.contributor.editor | Ull, D. | |
dc.date.accessioned | 2017-07-26T10:59:07Z | |
dc.date.available | 2017-07-26T10:59:07Z | |
dc.date.issued | 2014 | |
dc.description.abstract | This paper outlines the problem of efficiently formalizing functional design rationale in form of graph-rewriting production rules. It is argued that genetic programming provides a feasible machine learning approach to this. | en |
dc.identifier.isbn | 978-3-88579-626-8 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Informatik 2014 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-232 | |
dc.title | Approach to learning production rules for grammar-based functional design | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 1978 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 1977 | |
gi.conference.date | 22.-26. September 2014 | |
gi.conference.location | Stuttgart |
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