Real World Testing of a Method for “Modularising” Large Data Models: An Action Research Programme
Year: 2003
Type: article
Abstract: One of the most serious theoretical and practical limitations of the Entity Relationship (ER) Model is its \tinability to cope with complexity. Once data models exceed a certain threshold size, they become difficult to \tunderstand, document and maintain. A number of approaches have been proposed in the literature to address \tthis problem, but so far there has been little or no empirical validation of these methods in practice. This paper \tdescribes an action research programme in which a method for representing large data models was tested in \teight different organizations over a seven year period. Action research was chosen as it provides a way of \tvalidating the method in a real world context using real practitioners. The method evolved significantly as a \tresult of experience in practice, and is now a stable and mature method, as evidenced by the lack of change to \tthe method in the last three action research studies.
Author: Daniel L. Moody
Institution: Monash University
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2162944747