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Feedback-Enabled MDA-Prototyping Effects on Modeling Knowledge

  • Conference paper
Enterprise, Business-Process and Information Systems Modeling (BPMDS 2013, EMMSAD 2013)

Abstract

This paper describes the effects of a feedback-enabled MDA prototyping tool on the validation cycle for conceptual models. We observe the effects of such prototyping method on learning outcomes of novice modelers. The impact is assessed based on the quality dimensions introduced by Conceptual Modeling Quality Framework (CMQF), more specifically with respect to semantic quality being affected by modeling knowledge. The current work proposes an extension to the techniques introduced in previous work in particular, experimenting with the prototyping tool by novice modelers. A positive impact has been observed on the learning achievements of novice modelers improving both modeling and language knowledge.

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References

  1. Snoeck, M., Dedene, G., Verhelst, M., Depuydt, A.: Object-oriented enterprise modelling with MERODE. Leuvense Universitaire Pers, Leuven (1999)

    Google Scholar 

  2. Nelson, H.J., Poels, G., Genero, M., Piattini, M.: A conceptual modeling quality framework. Software Qual. J. 20, 201–228 (2012)

    Article  Google Scholar 

  3. Merrill, D., Collofello, J.S.: Improving Software Project Management Skills Using a Software Project Simulator. In: Frontiers in Education Conference (1997)

    Google Scholar 

  4. Neu, H., Becker-Kornstaedt, U.: Learning and Understanding a Software Process through Simulation of Its Underlying Model. In: Proceedings of LSO, pp. 81–93 (2002)

    Google Scholar 

  5. Sedrakyan, G., Snoeck, M.: Technology-enhanced support for learning conceptual modeling. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Wrycza, S. (eds.) BPMDS 2012 and EMMSAD 2012. LNBIP, vol. 113, pp. 435–449. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  6. Snoeck, M., Haesen, R., Buelens, H., De Backer, M., Monsieur, G.: Computer Aided Modelling Exercises. Journal Informatics in Education 6(1), 231–248 (2007)

    Google Scholar 

  7. Snoeck, M., Michiels, C., Dedene, G.: Consistency by construction: The case of MERODE. In: Jeusfeld, M.A., Pastor, Ó. (eds.) ER Workshops 2003. LNCS, vol. 2814, pp. 105–117. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  8. Haesen, R., Snoeck, M.: Implementing Consistency Management Techniques for Conceptual Modeling. Accepted for UML 2004: 7th Conference in the UML Series, Lisbon, Portugal, October 10-15 (2004)

    Google Scholar 

  9. Zikra, I., Stirna, J., Zdravkovic, J.: Analyzing the Integration between Requirements and Models in Model Driven Development. In: Halpin, T., Nurcan, S., Krogstie, J., Soffer, P., Proper, E., Schmidt, R., Bider, I. (eds.) BPMDS 2011 and EMMSAD 2011. LNBIP, vol. 81, pp. 342–356. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  10. Ince, D.C., Hekmatpour, S.: Software prototyping – progress and prospects. Information and Software Technology 29(1), 8–14 (1987)

    Article  Google Scholar 

  11. Klingstam, P., Gullander, P.: Overview of simulation tools for computer-aided production engineering. Computers in Industry 38, 173–186 (1999)

    Article  Google Scholar 

  12. OMG, Model-Driven Architecture, http://www.omg.org/mda/

  13. Conn, S.S., Forrester, L.: Model Driven Architecture: A Research Review for Information Systems Educators Teaching Software Development. Information Systems Education Journal 4(43) (2006)

    Google Scholar 

  14. Wang, W., Brooks, R.J.: Empirical investigations of conceptual modeling and the modeling process. In: Henderson, S.G., Biller, B., Hsieh, M.H. (eds.) Proceedings of the 39th Conference on Winter Simulation, pp. 762–770. IEEE, Washington, DC (2007)

    Google Scholar 

  15. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: A comparison of two theoretical models. Management Science 35, 982–1003 (1989)

    Article  Google Scholar 

  16. Zimmerman, B.J.: Investigating Self-Regulation and Motivation: Historical Background, Methodological Developments, and Future Prospects. American Educational Research Journal 45, 166–183 (2008)

    Article  Google Scholar 

  17. Nicol, D.J., Macfarlane-Dick, D.: Formative assessment and self-regulated learning: A model and seven principles of good feedback practice. Studies in Higher Education 31(2), 199–218 (2006)

    Article  Google Scholar 

  18. Barber, L.K., Bagsby, P.G., Grawitch, M.J., Buerck, J.P.: Facilitating self-regulated learning with technology: Evidence for student motivation and exam improvement. Teaching of Psychology (2011)

    Google Scholar 

  19. Buthler, D.L., Winne, P.H.: Feedback and Self-Regulated Learning: A Theoretical Synthesis. Review of Educational Research 65, 245–281 (1995)

    Article  Google Scholar 

  20. Buckl, S., Matthes, F., Schweda, C.M.: A Meta-language for EA Information Modeling - State-of-the-Art and Requirements Elicitation. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Ukor, R. (eds.) BPMDS 2010 and EMMSAD 2010. LNBIP, vol. 50, pp. 169–181. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  21. Foundational Subset for Executable UML Models (FUML), Version 1.0., http://www.omg.org/spec/FUML/1.0/

  22. Alf 1.0 Specification, http://www.omg.org/spec/ALF/Current

  23. Siau, K., Loo, P.-P.: Identifying difficulties in learning UML. Information Systems Management 23(3), 43–51 (2006)

    Article  Google Scholar 

  24. Moisan, S., Rigault, J.-P.: Teaching Object-Oriented Modeling and UML to Various Audiences. In: Ghosh, S. (ed.) MODELS 2009. LNCS, vol. 6002, pp. 40–54. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  25. Erickson, J., Siau, K.: Can UML Be Simplified? Practitioner Use of UML in Separate Domains. In: Proceedings EMMSAD 2007, Trondheim, Norway, pp. 87–96 (2007)

    Google Scholar 

  26. Gustas, R.: Conceptual Modeling and Integration of Static and Dynamic Aspects of Service Architectures. In: Sicilia, M.-A., Kop, C., Sartori, F. (eds.) ONTOSE 2010. LNBIP, vol. 62, pp. 17–32. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  27. Snoeck, M., Dedene, G.: Existence dependency: the key to semantic integrity between structural and behavioural aspects of object types. IEEE Trans. Software Eng. 24(4), 233–251 (1998)

    Article  Google Scholar 

  28. Recker, J., Safrudin, N., Rosemann, M.: How Novices Model Business Processes. In: Hull, R., Mendling, J., Tai, S. (eds.) BPM 2010. LNCS, vol. 6336, pp. 29–44. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  29. Moody, D.L.: The “physics” of notations: a scientific approach to designing visual notations in software engineering. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, New York, NY, USA, vol. 2, pp. 485–486 (2010)

    Google Scholar 

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Sedrakyan, G., Snoeck, M. (2013). Feedback-Enabled MDA-Prototyping Effects on Modeling Knowledge. In: Nurcan, S., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2013 2013. Lecture Notes in Business Information Processing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38484-4_29

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  • DOI: https://doi.org/10.1007/978-3-642-38484-4_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38483-7

  • Online ISBN: 978-3-642-38484-4

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