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The Enterprise Architecture Analysis Tool–Support for the Predictive, Probabilistic Architecture Modeling Framework
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.ORCID-id: 0000-0002-3293-1681
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
2013 (engelsk)Inngår i: 19th Americas Conference on Information Systems, AMCIS 2013 - Hyperconnected World: Anything, Anywhere, Anytime, Association for Information Systems, 2013, s. 3350-3364Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The business of contemporary organizations is heavily dependent on information systems. Business processes and IT are interwoven and numerous technologies are in use. How the involved systems affect each other or impact the organizations' business domain is often uncertain, thus decision-making regarding information technology is challenging. Enterprise architecture (EA) is a holistic, model-based management approach. Many of the available EA software tools focus on documenting and have limited analysis capabilities. In this article, a tool for EA analysis is presented, supporting the analysis of properties such as business fit, security, and interoperability. The tool is implemented to support the Predictive, Probabilistic Architecture Modeling Framework to specify and apply assessment frameworks for performing property analysis on EA models.

sted, utgiver, år, opplag, sider
Association for Information Systems, 2013. s. 3350-3364
Emneord [en]
Enterprise Architecture Analysis, probabilistic inference, system properties, software tool
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-126282Scopus ID: 2-s2.0-84893227613ISBN: 978-162993394-8 (tryckt)OAI: oai:DiVA.org:kth-126282DiVA, id: diva2:642119
Konferanse
19th Americas Conference on Information Systems, AMCIS 2013; Chicago, IL; United States; 15 August 2013 through 17 August 2013
Merknad

QC 20131101

Tilgjengelig fra: 2013-08-20 Laget: 2013-08-20 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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