Abstract
Conceptual models serve as the blueprints of information systems and their quality plays a decisive role in the success of the end system. It has been witnessed that majority of the IS change-requests result due to deficient functionalities in the information systems. Therefore, a good analysis and design method should ensure that conceptual models are correct and complete, as they are the communicating mediator between the users and the development team. Our approach evaluates the conceptual models on multiple levels of granularity in addition to providing the corrective actions or transformations for improvement. We propose quality patterns to help the non-expert users in evaluating their models with respect to their quality goal. This paper also demonstrates a software utility (CM-Quality) that implements the proposed evaluation approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cherfi, S.S., Akoka, J., Comyn-Wattiau, I.: Measuring UML Conceptual Modeling Quality-Method and Implementation. In: Pucheral, P. (ed.) Proceedings of the BDA Conference, Collection INT, France (2002)
ISO/IEC 9126, Software Engineering - Product quality - Part 1: Quality model (2001)
ISO/IEC 25030:2007, Software Engineering - Software Product Quality Requirements and Evaluation (SQuaRE) - Quality Requirements, Int’l Organization for Standardization (2007)
Batini, C., Ceri, S., Navathe, C.: Conceptual Database Design: An Entity-Relationship approach, p. 496. Benjamin/Cummings Publishing Company Inc. (1992)
Lindland, O.I., Sindre, G., Sølvberg, A.: Understanding Quality in Conceptual Modeling. IEEE Software 11(2), 42–49 (1994)
Mehmood, K., Cherfi, S.S., Comyn-Wattiau, I.: Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandability of Conceptual Models. In: DQS 2009, International Workshop on Data Quality and Security in Conjunction with (CIKM 2009), Hong Kong, November 2-6 (2009)
Mehmood, K., Cherfi, S.S., Comyn-Wattiau, I.: Data Quality through Conceptual Model Quality - Reconciling Researchers and Practitioners through a Customizable Quality Model. In: ICIQ (Intl. Conference on Information Quality), Germany, November 7-8 (2009)
Cherfi, S.S., Akoka, J., Comyn-Wattiau, I.: Quality Patterns for Conceptual Modeling. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds.) ER 2008. LNCS, vol. 5231, pp. 142–153. Springer, Heidelberg (2008)
Alexander, C., Ishikawa, S., Silverstein, M., Jacobson, M., Fiksdahl-King, I., Angel, S.: A Pattern Language: Towns, Buildings, Construction. Oxford University Press, USA (1977)
Beck, K., Cunningham, W.: Using Pattern Language for Object-Oriented Programs. In: OOPSLA 1987 Workshop on the Specification and Design for Object-Oriented Programming (1987)
Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley, Reading (1995)
Houdek, F., Kempter, H.: Quality Patterns – An approach to packaging software engineering experience. ACM SIGSOFT Software Engineering Notes 22(3) (1997)
Moody, D.L.: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models. Data & Knowledge Engineering 55, 243–276 (2005)
Basili, V.R., Gianluigi, C., Rombach, H.D.: The Goal Question Metric Approach. In: Encyclopedia of Software Engineering. Wiley, Chichester (1994)
Larman, C.: Applying UML and Patterns: an Introduction to Object-Oriented Analysis and Design and the Unified Process, 2nd edn. Prentice Hall, Englewood Cliffs (2001)
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28(1), 75–105 (2004)
March, S.T., Smith, G.F.: Design and Natural Science Research on Information Technology. Decision Support Systems 15, 251–266 (1995)
Preiss, O., Wegmann, A., Wong, J.: On Quality Attribute Based Software Engineering. In: Proceedings of the 27th EUROMICRO Conference (2001)
Manola, F.: Providing Systemic Properties (Ilities) and Quality of Service in Component-Based Systems. Object Services and Consulting, Inc., Technical Report (1999)
Moody, D.L., Shanks, G.G.: Improving the quality of data models: empirical validation of a quality management Framework. Information Systems 28(6), 619–650 (2003)
Moody, D.L., Shanks, G.G., Darke, P.: Strategies for improving the quality of entity relationship models. In: Information Resource Management Association (IRMA) Conference, Idea Group Publishing, USA (2000)
Moody, D.L., Shanks, G.G.: What makes a good data model? A framework for evaluating and improving the quality of entity relationship models. Australian Computer Journal (1998)
Nelson, R.R., Todd, P.A.: Antecedents of Information and System Quality: An Empirical Examination within the Context of Data Warehousing. Journal of Management Information Systems 21(4), 199–235 (2005)
Purao, S., Vaishnavi, V.: Product Metrics for Object-Oriented Systems. ACM Computing Surveys 35(2), 191–221 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mehmood, K., Cherfi, S.SS., Comyn-Wattiau, I. (2010). CM-Quality: A Pattern-Based Method and Tool for Conceptual Modeling Evaluation and Improvement. In: Catania, B., Ivanović, M., Thalheim, B. (eds) Advances in Databases and Information Systems. ADBIS 2010. Lecture Notes in Computer Science, vol 6295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15576-5_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-15576-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15575-8
Online ISBN: 978-3-642-15576-5
eBook Packages: Computer ScienceComputer Science (R0)