FORMALIZATION OF CLASS STRUCTURE EXTRACTION THROUGH LIFETIME ANALYSIS
Mikio Ohki
2004
Abstract
For an analyst who tries to extract class structures from given requirements specifications for an application area with which he/she is not familiar, it is usually easier first to extract analysis elements, such as attributes, methods, and relationships, then to compose classes from those elements, than to extract entire classes at the same time. This paper demonstrates how to define the set of operations that can be used to derive lifetime-based class structures, provided that methods, including their identification names and lifetimes, can be extracted from given requirements specifications. The latter part of this paper describes an experiment that validates the defined operations by deriving typical design patterns, and also describes the differences between my approach and Pree's meta-pattern approach. Finally, it discusses the important role of lifetime analysis and an effective style of requirements specifications for object-oriented system development.
References
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Paper Citation
in Harvard Style
Ohki M. (2004). FORMALIZATION OF CLASS STRUCTURE EXTRACTION THROUGH LIFETIME ANALYSIS . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-00-7, pages 635-642. DOI: 10.5220/0002611206350642
in Bibtex Style
@conference{iceis04,
author={Mikio Ohki},
title={FORMALIZATION OF CLASS STRUCTURE EXTRACTION THROUGH LIFETIME ANALYSIS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2004},
pages={635-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002611206350642},
isbn={972-8865-00-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - FORMALIZATION OF CLASS STRUCTURE EXTRACTION THROUGH LIFETIME ANALYSIS
SN - 972-8865-00-7
AU - Ohki M.
PY - 2004
SP - 635
EP - 642
DO - 10.5220/0002611206350642