Patterned Versus Conventional Object-Oriented Analysis Methods: A Group Project Experiment

Shuichiro YAMAMOTO  Hiroaki KUROKI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E81-D   No.12   pp.1458-1465
Publication Date: 1998/12/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Knowledge-Based Software Engineering)
Category: Experiment
Keyword: 
requirement analysis,  object-oriented analysis,  empirical study,  role object model,  object pattern,  

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Summary: 
Object-oriented analysis methods can be grouped into data-driven and behavior-driven approaches. With data-driven approaches, object models are developed based on a list of objects and their inter-relationships, which describe a static view of the real world. With behavior-oriented approaches, a system usage scenario is analyzed before developing the object models. Although qualitative comparisons of these two types of methods have been made, there was no statistical study has evaluated them based on controlled experiments. This paper proposes the patterned object-oriented method, POOM, which is a behavior-oriented approach, and compares it to OMT, a data-driven approach, using small team experiments. The effectiveness of POOM is shown in terms of productivity and homogeneity.