| dc.contributor.author | Strüber, Daniel | |
| dc.contributor.author | Burdusel, Alexandru | |
| dc.contributor.author | John, Stefan | |
| dc.contributor.author | Zschaler, Steffen | |
| dc.contributor.editor | Schaefer, Ina | |
| dc.contributor.editor | Karagiannis, Dimitris | |
| dc.contributor.editor | Vogelsang, Andreas | |
| dc.contributor.editor | Méndez, Daniel | |
| dc.contributor.editor | Seidl, Christoph | |
| dc.date.accessioned | 2018-01-23T21:43:22Z | |
| dc.date.available | 2018-01-23T21:43:22Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 978-3-88579-674-9 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/14948 | |
| dc.description.abstract | This tutorial presents Henshin, a versatile model transformation language increasingly used in academic and industrial applications. Henshin is based on the paradigm of graph transformation and provides a comprehensive tool set that supports largely declarative transformation specifications as well as various formal analyses. We present the application of Henshin in a search-based model optimisation scenario, where the goal is to find an optimal model regarding a given fitness function. Using Henshin, we specify evolutionary operators for MDEOptimiser, a novel search-based model optimisation tool. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Modellierung 2018 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-280 | |
| dc.subject | model transformation | |
| dc.subject | graph transformation | |
| dc.subject | model optimisation | |
| dc.subject | evolutionary optimisation | |
| dc.title | Henshin: A Model Transformation Language and its Use for Search-Based Model Optimisation in MDEOptimiser | en |
| dc.type | Text/Conference Paper | |
| dc.pubPlace | Bonn | |
| mci.reference.pages | 299-300 | |
| mci.conference.sessiontitle | Tutorials | |
| mci.conference.location | Braunschweig | |
| mci.conference.date | 21.-23. Februar 2018 | |