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A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery
KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-1464-6163
KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-3089-3885
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0003-2017-7914
KTH Royal Institute of Technology, Sweden.
2019 (English)In: Complex Systems Informatics and Modeling Quarterly, E-ISSN 2255-9922, no 20, p. 20-56, article id 116Article in journal (Refereed) Published
Abstract [en]

Modeling IT architecture is a complex, time consuming, and error prone task. However, many systems produce information that can be used for automating modeling. Early studies show that this is a feasible approach if we can overcome certain obstacles. Often more than one source is needed in order to cover the data requirements of an IT architecture model; and the use of multiple sources means that heterogeneous data needs to be merged. Moreover, the same collection of data might be useful for creating more than one kind of models for decision support. IT architecture is constantly changing and data sources provide information that can deviate from reality to some degree. There can be problems with varying accuracy (e.g. actuality and coverage), representation (e.g. data syntax and file format), or inconsistent semantics. Thus, integration of heterogeneous data from different sources needs to handle data quality problems of the sources. This can be done by using probabilistic models. In the field of truth discovery, these models have been developed to track data source trustworthiness in order to help solving conflicts while making quality issues manageable for automatic modeling. We build upon previous research in modeling automation and propose a framework for merging data from multiple sources with a truth discovery algorithm to create multiple IT architecture models. The usefulness of the proposed framework is demonstrated in a study where models using three tools are created, namely; Archi, securiCAD, and EMFTA.

Place, publisher, year, edition, pages
2019. no 20, p. 20-56, article id 116
Keywords [en]
IT Architecture Modeling; System Modeling; Automatic Data Collection; Automatic Modeling
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-40904DOI: 10.7250/csimq.2019-20.02OAI: oai:DiVA.org:ri-40904DiVA, id: diva2:1375172
Funder
EU, FP7, Seventh Framework Programme, 607109Available from: 2019-12-04 Created: 2019-12-04 Last updated: 2019-12-04Bibliographically approved

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Välja, MargusLagerström, RobertFranke, Ulrik

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