Abstract
Conceptual modeling using the UML class diagram notation is one of the essential tasks in object-oriented analysis. In collaborative learning, it is difficult for learners to properly share the task of conceptual modeling in their group because a few members who are more skilled out of their group are apt to refine and maintain their single conceptual model. Consequently, as a result of iterative refinement, the others easily become unable to recognize links between their single conceptual model and other documents such as use case descriptions. To improve this problem, this paper proposes a support tool for refining a conceptual model in collaborative learning. This tool enables to automatically merge multiple partial conceptual models, to semi-automatically refine elements of the merged model, and to automatically reflect the refined elements in each partial conceptual model. The effectiveness of this tool was evaluated by applying it to a course of object-oriented development.
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References
Trujillo, J., Palomar, M., Gomez, J., Song, I.-Y.: Designing data warehouses with OO conceptual models. Computer 34(12), 66–75 (2001)
Koch, N., Kraus, A.: The expressive power of UML-based web engineering. In: Proceedings of the 2nd IWWOST 2002, pp. 105–119 (2002)
Thakur, J.S., Gupta, A.: AnModeler: a tool for generating domain models from textual specifications. In: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016), pp. 828–833 (2016)
Fortuna, M.H., Werner, C.M.L., Borges, M.R.S.: Info cases: integrating use cases and domain models. In: Proceedings of the 16th IEEE International Requirements Engineering Conference, pp. 81–84 (2008)
Boronat, A., et al.: Formal model merging applied to class diagram integration. Electron. Notes Theor. Comput. Sci. 166, 5–26 (2007)
Hansen, K.M., Ratzer, A.V.: Tool support for collaborative teaching and learning of object-oriented modeling. In: Proceedings of the 7th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2002), pp. 146–150 (2002)
Asensio, J.I., et al.: Collaborative learning patterns: assisting the development of component-based CSCL applications. In: Proceedings of the 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, pp. 218–224 (2004)
Chen, W., et al.: CoLeMo: a collaborative learning environment for UML modelling. Interact. Learn. Environ. 14(3), 233–249 (2006)
Mehra, A., et al.: A generic approach to supporting diagram differencing and merging for collaborative design. In: Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering (ASE 2005), pp. 204–213 (2005)
Kerr, N.L., Bruun, S.E.: Dispensability of member effort and group motivation losses: free-rider effects. J. Pers. Soc. Psychol. 44(1), 78–94 (1983)
Change Vision, Inc.: Astah professional. http://astah.net/. Accessed 21 Mar 2018
Nikiforova, O., et al.: Several issues on the layout of the UML sequence and class diagram. In: Proceedings of the 9th International Conference on Software Engineering Advances (ICSEA 2014), pp. 12–16 (2014)
Acknowledgment
This work was supported by JSPS KAKENHI Grant Numbers JP16H03074.
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Maruyama, M., Ogata, S., Okano, K., Kayama, M. (2019). Support Tool for Refining Conceptual Model in Collaborative Learning. In: Virvou, M., Kumeno, F., Oikonomou, K. (eds) Knowledge-Based Software Engineering: 2018. JCKBSE 2018. Smart Innovation, Systems and Technologies, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-319-97679-2_15
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DOI: https://doi.org/10.1007/978-3-319-97679-2_15
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