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Inftech."],"published-print":{"date-parts":[[2021,10]]},"abstract":"<jats:title>Zusammenfassung<\/jats:title><jats:p>Software-intensive Cyber-Physische Produktionssysteme (SiCPPS) sind hochkomplexe vernetzte Systeme, die autonom miteinander und mit ihrer Umgebung interagieren, um flexibel eine Vielzahl an Produkten zu produzieren. Solche Systeme haben typischerweise eine lange Lebensdauer, \u00fcber die eine Vielzahl von Varianten entwickelt und gewartet werden muss. Diese Systeme bestehen aus vielen heterogenen Hard- und Softwarekomponenten, welche auf verschiedene Arten konfiguriert und kombiniert werden k\u00f6nnen. Variabilit\u00e4t betrifft dabei nicht nur diese Komponenten, sondern auch Entwicklungsprozesse, Anwendungsdom\u00e4nen sowie Methoden und Werkzeuge. In der Industrie h\u00e4ngt der Umgang mit Variabilit\u00e4t jedoch aktuell stark von Expertenwissen als auch von selbst entwickelten Werkzeugen ab. Diese funktionieren oft nur mit ganz bestimmten Artefakten bzw. Hard- und Softwareplattformen. Existierende Forschungsans\u00e4tze aus dem Gebiet der SiCPPS besch\u00e4ftigen sich nicht explizit mit der Beherrschung dieser Variabilit\u00e4t. In diesem Beitrag definieren wir eine Forschungsagenda zur Beherrschung der Variabilit\u00e4t in SiCPPS. Wir konzentrieren uns dabei auf die Entwicklung von Techniken (i) zur Erhebung und Modellierung von Variabilit\u00e4t und (ii) zur Automatisierung sowohl der Generierung von Artefakten in SiCPPS als auch der Generierung und Wartung von Modellen auf Basis bestehender Artefakte.<\/jats:p>","DOI":"10.1007\/s00502-021-00916-y","type":"journal-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T14:03:15Z","timestamp":1628690595000},"page":"321-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Ans\u00e4tze zur Beherrschung der Variabilit\u00e4t in Software-intensiven Cyber-Physischen Produktionssystemen","Approaches to mastering variability in software-intensive Cyber-Physical Production Systems"],"prefix":"10.1007","volume":"138","author":[{"given":"Antonio","family":"Gutierrez","sequence":"first","affiliation":[]},{"given":"Lisa","family":"Sonnleithner","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1306-3209","authenticated-orcid":false,"given":"Alois","family":"Zoitl","sequence":"additional","affiliation":[]},{"given":"Rick","family":"Rabiser","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,11]]},"reference":[{"key":"916_CR1","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.jss.2015.05.006","volume":"106","author":"N. 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