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An Artifact for Learning the TOGAF Architecture Development Method

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Advances in E-Business Engineering for Ubiquitous Computing (ICEBE 2019)

Abstract

In order to achieve and maintain a competitive advantage in today’s global economy, organizations need to align their information technology (IT) with their strategy while lowering the cost of ownership of their IT. To do so, an increasing number of organizations are adopting The Open Group Architecture Framework Architecture Development Method (TOGAF ADM). Indeed, this method seems to be the most widely adopted, complete and promising EA method. However, understanding and applying this method well is not as simple as it seems. The objective of the present research is to design and develop a tutoring artifact that implements the core concepts of intelligent tutoring systems to facilitate and accelerate the learning of the fundamental concepts of the TOGAF ADM. To attain this objective, we adopt a design science approach (DSA). This research contributes to the literature by synthesizing and clarifying key writings on the ADM. Furthermore, the proposed artifact, in addition to addressing an unmet need in the market, also helps users be rapidly more proficient in their work which in turn should enable their organizations to be more effective, agile and efficient.

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Notes

  1. 1.

    As part of this research project, two ADM experts took part in the demonstration to validate the artifact in the process of ADM learning. Both experts had more than ten years of experience in EA in the financial sector as well as theoretical and practical knowledge of the ADM. Because of space constraints, we will not present the results of this phase.

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Correspondence to Abderrahmane Leshob .

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Hadaya, P., Leshob, A., de Verteuil, J.N. (2020). An Artifact for Learning the TOGAF Architecture Development Method. In: Chao, KM., Jiang, L., Hussain, O., Ma, SP., Fei, X. (eds) Advances in E-Business Engineering for Ubiquitous Computing. ICEBE 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-030-34986-8_31

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