Preliminary Results of a Survey on the Use of Self-Adaptation in Industry

Autor: Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomas Bures, Amleto Di Salle, Patricia Lago, Angelika Musil, Juergen Musil, Patrizio Pelliccione

Publikováno v: Weyn, D, Gerostathopoulos, I, Abbas, N, Andersson, J, Biffl, S, Brada, P, Bures, T, Salle, A D, Lago, P, Musil, A, Musil, J & Pelliccione, P 2022, Preliminary Results of a Survey on the Use of Self-Adaptation in Industry . in 2022 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) : [Proceedings] . Institute of Electrical and Electronics Engineers Inc., pp. 70-76, 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022, Pittsburgh, United States, 18/05/22 . https://doi.org/10.1145/3524844.3528077
2022 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS): [Proceedings], 70-76
STARTPAGE=70;ENDPAGE=76;TITLE=2022 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)

Self-adaptation equips a software system with a feedback loop that automates tasks that otherwise need to be performed by operators. Such feedback loops have found their way to a variety of practical applications, one typical example is an elastic cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47288815040a726c1a2a276d68d7c30b
https://doi.org/10.1145/3524844.3528077

An Industry 4.0 Asset-Based Coordination Artifact for Production Systems Engineering

Autor: Kristof Meixner, Juergen Musil, Arndt Luder, Danny Weyns, Dietmar Winkler, Stefan Biffl, Felix Rinker, Angelika Musil

Publikováno v: CBI (1)

In Cyber-Physical Production System (CPPS) engineering, domain experts design assets like products, production processes, and resources. However, the representation of dependencies between assets in heterogeneous engineering artifacts, like system pl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bcb7df73b42a1c874cbe96f75647205
https://doi.org/10.1109/cbi52690.2021.00020

Continuous Adaptation Management in Collective Intelligence Systems

Autor: Danny Weyns, Juergen Musil, Angelika Musil, Stefan Biffl

Publikováno v: Software Architecture ISBN: 9783030299828
ECSA

Collective Intelligence Systems (CIS), such as wikis and social networks, enable enhanced knowledge creation and sharing at organization and society levels. From our experience in R&D projects with industry partners and in-house CIS development, we l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcb2b8523565ad47ac0cec43dde63abc
https://doi.org/10.1007/978-3-030-29983-5_8

Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations

Autor: Tudor B. Ionescu, Juergen Musil, Angelika Musil, Fajar J. Ekaputra, Stefan Biffl, Daniel Schall, Marta Sabou

Publikováno v: ICSA

The timely discovery, sharing and integration of architectural knowledge (AK) have become critical aspects in enabling the software architects to make meaningful conceptual and technical design decisions and trade-offs. In large-scale organizations p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb40b15635038bcc99d23791f4b2f7b0
https://doi.org/10.1109/icsa.2017.28

Towards collective intelligence system architectures for supporting multi-disciplinary engineering of cyber-physical production systems

Autor: Stefan Biffl, Juergen Musil, Angelika Musil

Publikováno v: CPPS@CPSWeek

The engineering process of Cyber-Physical Production Systems (CPPS) involves collaboration of multiple engineering disciplines. Major obstacles arising from these multi-disciplinary engineering processes are heterogeneous representations, weak accumu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8613706804d7e71103832e30fdefbfe
https://doi.org/10.1109/cpps.2016.7483918