eprintid: 2961
rev_number: 5
eprint_status: archive
userid: 69
dir: disk0/00/00/29/61
datestamp: 2015-12-03 13:32:51
lastmod: 2015-12-03 13:32:51
status_changed: 2015-12-03 13:32:51
type: article
metadata_visibility: show
creators_name: Kowal, Matthias
creators_name: Prehofer, Christian
creators_name: Schaefer, Ina
creators_name: Tribastone, Mirco
creators_id: 
creators_id: 
creators_id: 
creators_id: mirco.tribastone@imtlucca.it
title: Model-based Development and Performance Analysis for Evolving Manufacturing Systems
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: Model-driven Development; Variability; Evolution; Performance Analyses
abstract: Manufacturing systems and their control software exhibit a large number of variants, which evolve over time in order to meet changing functional and non-functional requirements. To handle the resulting complexity, we propose a multi-perspective modeling approach with different viewpoints regarding workflow, architecture and component behavior. We combine it with delta modeling to seamlessly capture variability and evolution by the same means on each of the viewpoints. We show how the separation in different viewpoints enables early performance analysis as well as code generation. The approach is illustrated using a case study.
date: 2014
date_type: published
publication: at - Automatisierungstechnik
volume: 62
number: 11
publisher: De Gruyter
pagerange: 794-802
id_number: 10.1515/auto-2014-1098
refereed: TRUE
issn: 0178-2312
official_url: http://www.degruyter.com/view/j/auto.2014.62.issue-11/auto-2014-1098/auto-2014-1098.xml
citation:   Kowal, Matthias and Prehofer, Christian and Schaefer, Ina and Tribastone, Mirco  Model-based Development and Performance Analysis for Evolving Manufacturing Systems.  at - Automatisierungstechnik, 62 (11).  pp. 794-802.  ISSN 0178-2312      (2014)