Learning perspectives of enterprise architectures through TrAM

LAUNDERS, I., POLOVINA, S. and KHAZAEI, B. (2010). Learning perspectives of enterprise architectures through TrAM. In: POLOVINA, S., ANDREWS, S., HILL, R., SCHARFE, H. and ØHRSTRØM, P., (eds.) Proceedings of the first conceptual structures – learning, teaching and assessment workshop CS-LTA2010 held in conjunction with ICCS-2010 the 18th international conference on conceptual structures. Mimos Berhad, 29-41.

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Abstract

Engaging with case studies and reasoning about complex business situations allows theoretical and practical skills to be practiced and developed by students as if they were industrial practitioners. There are often several solutions to enterprise architecture designs, and being able to abstract and conceptualise about enterprise architecture develops the students' design and analytical skills in preparation of industrial practice. The Transaction Agent Modelling (TrAM) framework enhances this practice in that it deepens the design thinking for transaction agent modelling and transactions within enterprise architecture through capturing its underlying business semantics. Core to TrAM are Conceptual Graphs (CG). We reflect on good examples produced by student design groups applying TrAM to case studies as simulation of industrial practice. The paper reveals the key lessons that can be learnt from these good examples and how its guidelines can be derived to improve the use of TrAM in industry, stimulated by the student experience.

Item Type:	Book Section
Additional Information:	Workshop held at Kuching, Sarawak, Malaysia, on 26 July 2010
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Page Range:	29-41
Depositing User:	Users 4 not found.
Date Deposited:	03 Sep 2010 14:56
Last Modified:	18 Mar 2021 21:15
URI:	https://shura.shu.ac.uk/id/eprint/2396

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