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Information Quality Management: a Model-Driven Approach
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.ORCID iD: 0000-0002-0835-823X
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.ORCID iD: 0000-0002-7565-3714
2012 (English)In: Proceedings of IRIS 2012, 2012Conference paper, Published paper (Refereed)
Abstract [en]

Large amounts of information are produced on a daily basis. We include any form of electronic data in the term information, for example e-books, web sites, software, databases, etc. Several studies have investigated the quality of this information, and often find it lacking. It is a complex process of producing said information but also to define and assess quality of the information, especially across the many different forms. We present a model-driven approach to information quality management, were models and indicators are used to define and assess qual- ity. We rely on abstraction of models, which are described using meta model. We show how this model-driven approach is implemented by a software tool that (i) reads information, (ii) performs analyses on this information, and (iii) visualizes the results, to help stakeholders understand quality issues. The software tool has been used to evaluate the quality of real world software and docu- mentations. 

Place, publisher, year, edition, pages
2012.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-25833OAI: oai:DiVA.org:lnu-25833DiVA: diva2:623088
Conference
The 35th Information Systems Research Seminar in Scandinavia (IRIS), August 17–20, 2012, Sigtuna, Sweden
Funder
VinnovaThe Knowledge Foundation
Available from: 2013-05-24 Created: 2013-05-24 Last updated: 2018-01-11Bibliographically approved

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Wingkvist, AnnaEricsson, MorganLöwe, Welf

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
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