The Catchers in the Rye: Students Model Enterprise Architectures

Gianmario Motta () and Daniele Sacco ()
Additional contact information
Gianmario Motta: Dipartimento di Ingegneria Industriale e dell’Informazione University of Pavia
Daniele Sacco: Dipartimento di Ingegneria Industriale e dell’Informazione University of Pavia

A chapter in Organizational Change and Information Systems, 2013, pp 347-355 from Springer

Abstract: Abstract We illustrate how graduate students (“the catchers”) are able to model the enterprise architecture of a real organization (“the rye”) by a grid of analysis techniques. These techniques design a model driven architecture, and are easy to learn by students and to understand by enterprise users. The grid includes three levels. The Aggregate Strategic Level (ASL) uses list and matrix models in the domains of information and business processes. ASL schemas are then mapped on a much more detailed Rich Semantic Level (RSL), that is still independent from the underlying technology. Finally, RSL schemas are mapped on executable models, that reflect technology. The illustration is backed by a case study on small-medium enterprise.

Keywords: Enterprise architecture; Business architecture; Information systems architecture; Information requirements analysis; Requirements analysis techniques (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-642-37228-5_34

Ordering information: This item can be ordered from
http://www.springer.com/9783642372285

DOI: 10.1007/978-3-642-37228-5_34

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().