Towards an Expert System for Identifying and Reducing Unnecessary Complexity of IT Architectures
dc.contributor.author | Wehling, Kenny | |
dc.contributor.author | Schaefer, Ina | |
dc.contributor.editor | Eibl, Maximilian | |
dc.contributor.editor | Gaedke, Martin | |
dc.date.accessioned | 2017-08-28T23:47:07Z | |
dc.date.available | 2017-08-28T23:47:07Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Over the course of time, IT architectures in business environments grow and often include a range of different architectural variants. This causes various redundancies and a high level of IT complexity leading to higher costs and increased effort for evolving and maintaining the entire IT landscape. In this paper, we propose a concept for a rule based system that analyzes the variability within IT architectures automatically and supports experts in identifying and reducing the architecture’s complexity by eliminating unnecessary architectural variants. | en |
dc.identifier.doi | 10.18420/in2017_152 | |
dc.identifier.isbn | 978-3-88579-669-5 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik, Bonn | |
dc.relation.ispartof | INFORMATIK 2017 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-275 | |
dc.subject | IT architecture | |
dc.subject | unnecessary IT complexity | |
dc.subject | unnecessary variability | |
dc.subject | expert system | |
dc.title | Towards an Expert System for Identifying and Reducing Unnecessary Complexity of IT Architectures | en |
gi.citation.endPage | 1529 | |
gi.citation.startPage | 1523 | |
gi.conference.date | 25.-29. September 2017 | |
gi.conference.location | Chemnitz | |
gi.conference.sessiontitle | ASE – 15. Workshop Automotive Software Engineering |
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