Abstract
Enterprise Models are an important tool for IT-Governance. Diverse stakeholders are working with such models. This work presents a contribution to the study of model understandability. The model comprehension of individuals having basic knowledge of business administration and computer science has been measured in an experiment. The level of detail (high/low) has been chosen for the independent variable of the experiment. The study bases on a model that has been derived from the ArchiSurance case study of the OpenGroup. This model is part of the Archi tool published by Bolton University. The results show a higher model understandability at a higher level detail and thus higher model complexity.
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Aranda, J., Ernst, N., Horkoff, J., Easterbrook, S.: A framework for empirical evaluation of model comprehensibility. In: Proceedings of the International Workshop on Modeling in Software Engineering, vol. 7. IEEE Computer Society (2007)
Ottensooser, A., Fekete, A., Reijers, H.A., Mendling, J., Menictas, C.: Making sense of business process descriptions: An experimental comparison of graphical and textual notations. Journal of Systems and Software 85(3), 596–606 (2012)
Balzert, H.: Lehrbuch der Software-Technik. 2. Auflage. Spektrum, Akad. Verl (Lehrbücher der Informatik, 1), Heidelberg (2001)
Bleymüller, J., Gehlert, G.: Statistische Formeln, Tabellen und Programme. 8. Auflage. Vahlen (WiSt-Taschenbücher), München (1996)
Chen, D., Vallespir, B., Doumeingts, G.: GRAI integrated methodology and its mapping onto generic enterprise reference architecture and methodology. Computers in Industry 33(2-3), 387–394 (1997)
Christiner, F., Lantow, B., Sandkuhl, K., Wißotzki, M.: Multi-dimensional Visualization in Enterprise Modeling. In: BIS (Workshops), pp. 139–152 (2012)
Dumas, M., La Rosa, M., Mendling, J., Mäesalu, R., Reijers, H.A., Semenenko, N.: Understanding Business Process Models: The Costs and Benefits of Structuredness. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 31–46. Springer, Heidelberg (2012)
Figl, K., Laue, R.: Cognitive Complexity in Business Process Modeling. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 452–466. Springer, Heidelberg (2011)
Frank, U.: Multi-perspective enterprise modeling (MEMO) conceptual framework and modeling languages. In: Proceedings of the 35th Annual Hawaii International Conference on System Sciences, HICSS 2002, pp. 1258–1267 (2002)
Fox, M.S.: Grüninger, Michael: Enterprise Modeling. AI Magazine 19(3), 109–121 (1998)
Krogstie, J.: Model-based development and evolution of information systems. A quality approach. Springer, London (2012)
Maes, A., Poels, G.: Evaluating Quality of Conceptual Models Based on User Perceptions. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 54–67. Springer, Heidelberg (2006)
Melcher, J., Mendling, J., Reijers, H.A., Seese, D.: On Measuring the Understandability of Process Models. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 465–476. Springer, Heidelberg (2010)
Mendling, J., Reijers, H.A., van der Aalst, W.M.P.: Seven process modeling guidelines (7PMG). Inf. Softw. Technol. 52(2), 127–136 (2010)
Mendling, J., Reijers, H.A., Cardoso, J.: What Makes Process Models Understandable? In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 48–63. Springer, Heidelberg (2007)
Mendling, J., Strembeck, M.: Influence Factors of Understanding Business Process Models. In: Abramowicz, W., Fensel, D. (eds.) BIS 2008. LNBIP, vol. 7, pp. 142–153. Springer, Heidelberg (2008)
Moody, D.L.: The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering. IEEE Transactions on Software Engineering 35(6), 756–779 (2009), doi:10.1109/TSE.2009.67
Overhage, S., Birkmeier, D., Schlauderer, S.: Quality Marks, Metrics, and Measurement Procedures for Business Process Models - The 3QM-Framework. Business & Information Systems Engineering 4(5), 229–246 (2012)
Parsons, J., Cole, L.: What do the pictures mean? Guidelines for experimental evaluation of representation fidelity in diagrammatical conceptual modeling techniques. Data & Knowledge Engineering 55(3), 327–342 (2005)
Poels, G., Burton-Jones, A., Gemino, A., Parsons, J., Ramesh, V.: Experimental Research on Conceptual Modeling: What Should We Be Doing and Why? In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 544–547. Springer, Heidelberg (2006)
Reijers, H.A., Mendling, J.: A Study Into the Factors That Influence the Understandability of Business Process Models. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 41(3), 449–462 (2011)
Schrepfer, M., Wolf, J., Mendling, J., Reijers, H.A.: The Impact of Secondary Notation on Process Model Understanding. In: Persson, A., Stirna, J. (eds.) PoEM 2009. LNBIP, vol. 39, pp. 161–175. Springer, Heidelberg (2009)
Stirna, J., Persson, A., Sandkuhl, K.: Participative Enterprise Modeling: Experiences and Recommendations. In: Krogstie, J., Opdahl, A.L., Sindre, G. (eds.) CAiSE/2007. LNCS, vol. 4495, pp. 546–560. Springer, Heidelberg (2007)
van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M.: Business Process Management: A Survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1–12. Springer, Heidelberg (2003)
Vernadat, F.B.: Enterprise Modeling and Integration: Current Status and Perspectives. Annual Reviews in Control 26, 15–25 (2002)
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Lantow, B. (2014). Level of Detail and Understandability of Enterprise Models – Better Understandability through Higher Complexity?. In: Johansson, B., Andersson, B., Holmberg, N. (eds) Perspectives in Business Informatics Research. BIR 2014. Lecture Notes in Business Information Processing, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-11370-8_4
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DOI: https://doi.org/10.1007/978-3-319-11370-8_4
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