Document Type
Dissertation
Date of Award
Spring 5-31-2004
Degree Name
Doctor of Philosophy in Information Systems - (Ph.D.)
Department
Information Systems
First Advisor
Michael Bieber
Second Advisor
Jane Cheng
Third Advisor
Fadi P. Deek
Fourth Advisor
Il Im
Fifth Advisor
Vassilka D. Kirova
Sixth Advisor
Ravi Paul
Abstract
A significant aspect of systems analysis involves discovering and representing entities and their inter-relationships. Guidelines exist to identify entities but do not provide a rigorous and comprehensive process to explicitly capture the relationship structure of the problem domain. Whereas, other analysis techniques lightly address the relationship discovery process, Relationship Analysis is the only systematic, domain-independent analysis technique focusing exclusively on a domain's relationship structure.
The quality of design artifacts, such as class diagrams, and development time necessary to generate these artifacts can be improved by first representing the complete relationship structure of the problem domain. The Relationship Analysis Model is the first theory-based taxonomy to classify relationships. A rigorous evaluation was conducted, including a formal experiment comparing novice and experienced analysts with and without Relationship Analysis. It was shown that the Relationship Analysis Process based on the model does provide a fuller and richer systems analysis, resulting in improved quality of and reduced time in generating class diagrams. It also was shown that Relationship Analysis enables analysts of varying experience levels to achieve a similar level of quality of class diagrams. Relationship Analysis significantly enhances the systems analyst's effectiveness, especially in the area of relationship discovery and documentation resulting in improved analysis and design artifacts.
Recommended Citation
Catanio, Joseph Thomas, "Relationship analysis : improving the systems analysis process" (2004). Dissertations. 621.
https://digitalcommons.njit.edu/dissertations/621
