Abstract
In performance measurement systems that are built on top of a data warehouse, the information requirements in natural language are different performance indicators that should be stored and analyzed. We use the requirement formalization metamodel to create a formal requirement repository out of information requirements in natural language. In the course of this research we tested the compatibility of the existing requirement formalization metamodel applying it to a set of over 150 requirements for the currently operating data warehouse project. As a result, we extended the formal specification of information requirements with some additional classes like themes, grouping, and requirement priorities, and relationships discovered in this case study. We discussed benefits of requirement prioritization and advantages of transferring requirement priority values to schema elements with and aim of detecting schema elements to be incorporated into dashboards.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Inmon, W.H.: Building the Data Warehouse, 3rd edn. Wiley Computer Publishing (2002)
Winter, R., Strauch, B.: A Method for Demand-driven Information Requirements Analysis in Data Warehousing Projects. In: Proceedings of 36th Annual Hawaii International Conference on System Sciences (HICSS 2003), pp. 1359–1365. IEEE, Waikoloa (2003)
Niedritis, A., Niedrite, L., Kozmina, N.: Performance Measurement Framework with Formal Indicator Definitions. In: Grabis, J., Kirikova, M. (eds.) BIR 2011. LNBIP, vol. 90, pp. 44–58. Springer, Heidelberg (2011)
Kozmina, N., Niedrite, L., Golubs, M.: Deriving the Conceptual Model of a Data Warehouse from Information Requirements. In: Proceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013), Angers, France, vol. 1, pp. 136–144 (2013)
Parmenter, D.: Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, 2nd edn. Jon Wiley & Sons, Inc. (2010)
Frank, U., Heise, D., Kattenstroth, H., Schauer, H.: Designing and Utilizing Business Indicator Systems within Enterprise Models - Outline of a Method. In: Loos, P., Nüttgens, M., Turowski, K., Werth, D. (eds.) Modellierung betrieblicher Informationssysteme (MobIS 2008) - Modellierung zwischen SOA und Compliance Management, vol. 141, pp. 89–105. LNI, Saarbrücken (2008)
Popova, V., Treur, J.: A Specification Language for Organizational Performance Indicators. Applied Intelligence Journal 27(3), 291–301 (2007)
Popova, V., Sharpanskykh, A.: Modeling Organizational Performance Indicators. Information Systems 35(4), 505–527 (2010)
Pourshahid, A., Amyot, D., Chen, P., Weiss, M., Forster, A.J.: Business Process Monitoring and Alignment: An Approach Based on the User Requirements Notation and Business Intelligence Tools. In: WER, pp. 80–91 (2007)
ITU-T – International Telecommunications Union: Recommendation Z.150 (02/03), User Requirements Notation (URN) – Language Requirements and Framework, Geneva, Switzerland (2003)
Berander, P., Andrews, A.: Requirements Prioritization (Chapter 4). In: Aurum, A., Wohlin, C. (eds.) Engineering and Managing Software Requirements, pp. 69–94. Springer, Berlin (2005)
Lausen, S.: Software Requirements – Styles and Techniques. Pearson Education, Essex (2002)
Karlsson, J.,, Wohlin, C., Regnell, B.: An Evaluation of Methods for Prioritizing Software Requirements. Information and Software Technology 39(14-15), 939–947 (1998)
Brackett, J.W.: Software Requirements Technical Report. Carnegie Mellon University, Software Engineering Institute (1990)
Expert Business Analyst: Requirements Prioritization, http://expertbusinessanalyst.com/requirements-prioritization/
Karlsson, L., Berander, P., Regnell, B., Wohlin, C.: Requirements Prioritisation: An Experiment on Exhaustive Pair-Wise Comparisons vs. Planning Game Partitioning. In: Proceedings of the 8th International Conference on Empirical Assessment in Software Engineering (EASE 2004), pp. 145–154. IEE, Stevenage (2004)
Leffingwell, D., Widrig, D.: Managing Software Requirements – A Unified Approach. Addison-Wesley, Upper Saddle River (2000)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Regnell, B., Höst, M., Natt och Dag, J., Beremark, P., Hjelm, T.: An Industrial Case Study on Distributed Prioritisation in Market-Driven Requirements Engineering for Packaged Software. Requirements Engineering 6(1), 51–62 (2001)
Alshehri, S., Benedicenti, L.: Using the Analytical Hierarchy Process as a Ranking Tool for User Story Prioritization Techniques. In: Proceedings of the 8th International Conference on Software Engineering Advances, pp. 329–335. IARIA, Venice (2013)
A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide), version 2. International Institute of Business Analysis, Toronto, Ontario, Canada (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Kozmina, N., Niedrite, L. (2014). Extending a Metamodel for Formalization of Data Warehouse Requirements. In: Johansson, B., Andersson, B., Holmberg, N. (eds) Perspectives in Business Informatics Research. BIR 2014. Lecture Notes in Business Information Processing, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-11370-8_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-11370-8_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11369-2
Online ISBN: 978-3-319-11370-8
eBook Packages: Computer ScienceComputer Science (R0)