Abstract
Critical to the success of an enterprise is to not only remember and share information, but also to make sure it meets the required quality. We developed a method for adding information quality requirements to the ontological DEMO model of an enterprise, by first defining information products, second determine relevant quality characteristics from the ISO/IEC 25012:2008 Data Quality Model for Software product Quality Requirements and Evaluation standard, and third add these quality characteristics to the ontological model [1]. As a benefit we found that it not only offers a systematic way to determine the needed quality of information to support the business organization, it also reveals a way to model this need on an ontological level through the creation, remembering and recalling of new information and by the use of this new information in the action rules of new or existing actor roles. Further research is required to ascertain this is a good starting point for eliciting software requirements to support responsibilities regarding quality of information.
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Deen, R.J.P., Mijs, J.: Adding quality of information requirements to the ontological model of an enterprise. Master thesis, Antwerp Management School (2016)
Adams, K.: Non-functional Requirements in Systems Analysis and Design. Springer, Cham (2015)
De Jong, J.: A Method for Enterprise Ontology based Design of Enterprise Information Systems. Dissertation, TU Delft (2013)
Dietz, J.: Enterprise Ontology. Theory and Methodology. Springer, Heidelberg (2006)
Dietz, J. (alias Perinforma, A.P.C.): The Essence of Organization. An Introduction to Enterprise Engineering, Sapio Enterprise Engineering (2013)
Dietz, J.: Architecture: Building Strategy into Design. Academic Service, The Hague (2008)
ISO/IEC 25012:2008: Software Engineering Software Product Quality Requirements and Evaluation (SQuaRE) Data Quality Model
ISO/IEC 25024:2015: Systems and Software Engineering Systems and Software Quality Requirements and Evaluation (SQuaRE) Measurement of Data Quality
Johannesson, P., Perjons, E.: An Introduction to Design Science. Springer, Cham (2014)
Hevner, A.R.: Design science in information system research. MIS Q. 28, 75–105 (2004)
Krouwel, M., Op ’T Land, M.: Using enterprise ontology as a basis for requirements for cross-organizationally usable applications. In: MCIS (2012)
Van Lamsweerde, A.: Requirements Engineering: From System Goals to UML Models to Software Specifications. Wiley, Hoboken (2009)
Op ’T Land, M.: DEMO as core of Informed Governance at Rijkswaterstaat. In: EEWC (2013)
Op ’T Land, M., et al.: Enterprise Architecture: Creating Value by Informed Governance. Springer, Heidelberg (2009)
Op ’T Land, M., Proper, E.: Impact of principles on enterprise engineering. In: ECIS (2007)
Recker, J.: Scientific Research in Information Systems. A Beginners Guide. Springer, Heidelberg (2013)
Redman, T.: The impact of poor data quality on the typical enterprise. Commun. ACM 41(2), 79–82 (1998)
Sommerville, I.: Software Engineering, 9th edn. Addison-Wesley, Boston (2011)
Wang, R.: A product perspective on total data quality management. Commun. ACM 41(2), 58–65 (1998)
Whitten, J.L., Bentley, L.D.: Systems Analysis and Design Methods, 7th edn. McGraw-Hill, Inc., New York (2007)
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Deen, R., Mijs, J., Op ’T Land, M. (2017). Adding Quality of Information to the Ontological Model of an Enterprise. In: Aveiro, D., Pergl, R., Guizzardi, G., Almeida, J., Magalhães, R., Lekkerkerk, H. (eds) Advances in Enterprise Engineering XI. EEWC 2017. Lecture Notes in Business Information Processing, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-319-57955-9_3
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DOI: https://doi.org/10.1007/978-3-319-57955-9_3
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