%0 Book Section %1 WiesnerGorldtEtAl14APMS %A Wiesner, Stefan %A Gorldt, Christian %A Soeken, Mathias %A Thoben, Klaus-Dieter %A Drechsler, Rolf %B Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World (Part I) %C Heidelberg %D 2014 %E Grabot, Bernard %E Vallespir, Bruno %E Gomes, Samuel %E Bouras, Abdelaziz %E Kiritsis, Dimitris %I Springer %K 01624 springer paper dfki embedded ai language processing process factory system design requirements engineering zzz.cps %P 281--288 %R 10.1007/978-3-662-44739-0_35 %T Requirements Engineering for Cyber-Physical Systems %V 438 %X According to a widely shared view, manufacturing is currently undergoing its fourth industrial revolution, termed 'Industrie 4.0' in the high-tech strategy of the German government. Smart Factories with vertically and hori- zontally integrated production systems are enabled through the realization of machines, storage systems and utilities as Cyber-Physical Systems (CPS), which are able to share information, act, and control each other autonomously. The development of CPS requires the collaboration of different disciplines, like mechanical engineering, electrical engineering and computer science. This cre- ates new challenges for Requirements Engineering (RE), which needs to estab- lish a common perception of the targeted CPS for the involved stakeholders. This paper will elaborate the specific challenges in RE for CPS based on a lit- erature review. Natural Language Processing (NLP) is used as an approach to automatically translate shared informal requirements specifications to formal domain specific models for the involved disciplines, to develop a comprehensive RE methodology for CPS. %@ 978-3-662-44738-3

@incollection{WiesnerGorldtEtAl14APMS, abstract = {According to a widely shared view, manufacturing is currently undergoing its fourth industrial revolution, termed 'Industrie 4.0' in the high-tech strategy of the German government. Smart Factories with vertically and hori- zontally integrated production systems are enabled through the realization of machines, storage systems and utilities as Cyber-Physical Systems (CPS), which are able to share information, act, and control each other autonomously. The development of CPS requires the collaboration of different disciplines, like mechanical engineering, electrical engineering and computer science. This cre- ates new challenges for Requirements Engineering (RE), which needs to estab- lish a common perception of the targeted CPS for the involved stakeholders. This paper will elaborate the specific challenges in RE for CPS based on a lit- erature review. Natural Language Processing (NLP) is used as an approach to automatically translate shared informal requirements specifications to formal domain specific models for the involved disciplines, to develop a comprehensive RE methodology for CPS.}, added-at = {2014-10-04T20:54:05.000+0200}, address = {Heidelberg}, author = {Wiesner, Stefan and Gorldt, Christian and Soeken, Mathias and Thoben, Klaus-Dieter and Drechsler, Rolf}, biburl = {https://www.bibsonomy.org/bibtex/2c714109d465c77e32ad7dab8d6369e5e/flint63}, booktitle = {Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World (Part I)}, crossref = {APMS2014a}, doi = {10.1007/978-3-662-44739-0_35}, editor = {Grabot, Bernard and Vallespir, Bruno and Gomes, Samuel and Bouras, Abdelaziz and Kiritsis, Dimitris}, file = {Springer4Pro:2014/WiesnerGorldtEtAl14APMS.pdf:PDF}, groups = {public}, interhash = {e303c2a41247414be7fe38c709086dfa}, intrahash = {c714109d465c77e32ad7dab8d6369e5e}, isbn = {978-3-662-44738-3}, keywords = {01624 springer paper dfki embedded ai language processing process factory system design requirements engineering zzz.cps}, pages = {281--288}, publisher = {Springer}, series = {IFIP Advances in Information and Communication Technology}, timestamp = {2017-07-13T18:15:48.000+0200}, title = {Requirements Engineering for Cyber-Physical Systems}, username = {flint63}, volume = 438, year = 2014 }