Abstract
Conceptual models serve as the blueprints of information systems and their quality plays decisive role in the success of the end system. It has been witnessed that majority of the IS change-requests results due to deficient functionalities in the information systems. Therefore, a good analysis and design method should ensure that conceptual models are functionally correct and complete, as they are the communicating mediator between the users and the development team. Conceptual model is said to be functionally complete if it represents all the relevant features of the application domain and covers all the specified requirements. Our approach evaluates the functional aspects on multiple levels of granularity in addition to providing the corrective actions or transformation for improvement. This approach has been empirically validated by practitioners through a survey.
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References
Software Engineering - Product quality - Part 1: Quality model 2001(ISO/IEC 9126)
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)
Maes, A., Poels, G.: Evaluating Quality of Conceptual Modeling Scripts Based on User Perceptions. Data & Knowledge Engineering 63(3), 701–724 (2007)
Teeuw, B., Van Den Berg, H.: On the Quality of Conceptual Models. In: Embley, D.W. (ed.) ER 1997. LNCS, vol. 1331. Springer, Heidelberg (1997)
Moody, D.L.: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models: Current State and Future Directions. Data & Knowledge Engineering 55, 243–276 (2005)
Siau, K., Tan, X.: Improving the quality of conceptual modeling using cognitive mapping techniques. Data & Knowledge Engineering 55(3), 343–365 (2005)
Walrad, C., Moss, E.: Measurement: The Key to Application Development Quality. IBM Systems Journal 32(3), 445–460 (1993)
Ribbert, M., Niehaves, B., Dreiling, A., Holten, R.: An Epistemological Foundation of Conceptual Modeling. In: The Proceedings of the 12th European Conference on Information Systems, Turku, Finland (2004)
Basili, V.R., Rombach, H.D., Bailey, J., Delis, A.: Ada Reusability and Measurement. Technical Report, Institute for Advanced Computer Studies and Department of Computer Science at the University of Maryland College Park (1990)
Chidamber, S.R., Kemerer, C.F.: A Metrics Suite for Object Oriented Design. IEEE Transactions on Software Engineering 20(6), 476–493 (1994)
Cherfi, S.S., Akoka, J., Comyn-Wattiau, I.: Measuring UML Conceptual Modeling Quality-Method and Implementation. In: Pucheral, P. (ed.) The Proceedings of the BDA Conference, Collection INT, France (2002)
Cherfi, S.S., Akoka, J., Comyn-Wattiau, I.: A Framework for Conceptual Modeling Quality Evaluation. In: The Proceedings of ICSQ 2003 (2003)
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Mehmood, K., Cherfi, S.SS. (2009). Evaluating the Functionality of Conceptual Models. In: Heuser, C.A., Pernul, G. (eds) Advances in Conceptual Modeling - Challenging Perspectives. ER 2009. Lecture Notes in Computer Science, vol 5833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04947-7_27
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DOI: https://doi.org/10.1007/978-3-642-04947-7_27
Publisher Name: Springer, Berlin, Heidelberg
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