Lightweight Semantic Prototyper for Conceptual Modeling
While much research work was devoted to conceptual model quality validation techniques, most of the existing tools in this domain focus on syntactic quality. Tool support for checking semantic quality (correspondence between the conceptual model and requirements of a domain to be engineered) is largely lacking. This work introduces a lightweight model-driven semantic prototyper to test/validate conceptual models. The goal of the tool is twofold: (1) to assist business analysts in validating semantic quality of conceptual business specifications using a fast prototyper to communicate with domain experts; (2) to support the learning perspective of conceptual modeling for less experienced modelers (such as students or novice analysts in their early career) to facilitate their progression to advanced level of expertise. The learning perspective is supported by providing automated feedback that visually links the test results to their causes in the model’s design. The effectiveness of the tool has been confirmed by means of empirical experimental studies.
KeywordsConceptual modeling semantic quality prototyping testing validation feedback
Unable to display preview. Download preview PDF.
- 2.Moody, D.L.: Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. Data & Knowledge Engineering 55(3), 243–276 (2005), ISSN 0169-023XGoogle Scholar
- 3.OMG, Model-Driven Architecture (2014), http://www.omg.org/mda/
- 4.Snoeck, M., Dedene, G., Verhelst, M., Depuydt, A.: Object-oriented enterprise modelling with MERODE. Leuvense Universitaire Pers, Leuven (1999)Google Scholar
- 5.Sedrakyan, G., Snoeck, M.: A PIM-to-Code requirements engineering framework. In: Proceedings of Modelsward 2013-1st International Conference on Model-driven Engineering and Software Development-Proceedings, pp. 163–169 (2013)Google Scholar
- 6.Sedrakyan, G., Snoeck, M.: Feedback-enabled MDA-prototyping effects on modeling knowledge. In: Nurcan, S., Proper, H.A., Soffer, P., Krogstie, J., Schmidt, R., Halpin, T., Bider, I. (eds.) BPMDS 2013 and EMMSAD 2013. Lecture Notes in Business Information Processing, vol. 147, pp. 411–425. Springer, Heidelberg (2013)CrossRefGoogle Scholar
- 7.Sedrakyan, G., Snoeck, M., Poelmans, S.: Assessing the effectiveness of feedback enabled simulation in teaching conceptual modeling. Review at Computers & EducationGoogle Scholar
- 8.EuropeanCommission, Opening up education: Innovative teaching and learning for all through new technologies and open educational resources (2013)Google Scholar