Modeling Software Characteristics and Their Correlations in A Specific Domain by Comparing Existing Systems

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Title: Modeling Software Characteristics and Their Correlations in A Specific Domain by Comparing Existing Systems
Author(s): Akira Osada, Daigo Ozawa, Haruhiko Kaiya, and Kenji Kaijiri.
Source: In Proc. of the 5th International Conference on Quality Software (QSIC), pp. 215-222, Melbourne, Australia. Sep. 19-21. 2005. IEEE Computer Society Press.

We propose a software requirements analysis method based on domain ontology technique, where we can establish a mapping between a software requirements specification and the domain ontology that represents semantic components. Our ontology system consists of a thesaurus and inference rules and the thesaurus part comprises domain specific concepts and relationships suitable for semantic processing. It allows requirements engineers to analyze a requirements specification with respect to the semantics of the application domain. More concretely, we demonstrate following three kinds of semantic processing through a case study, (1) detecting incompleteness and inconsistency included in a requirements specification, (2) measuring the quality of a specification with respect to its meaning and (3) predicting requirements changes based on semantic analysis on a change history.

8 pages, ( 251 K bytes, gziped postscript) or ( 222 K bytes, PDF)

BibTeX Entry:

@Inproceedings(,
	Title="{Modeling Software Characteristics and Their Correlations 
		in A Specific Domain by Comparing Existing Similar Systems}",
	Author="Akira Osada and Daigo Ozawa and Haruhiko Kaiya and Kenji Kaijiri",
	Booktitle="QSIC 2005, 
		Proceedings of The 5th International Conference on Quality Software",
	Year="2005",
	Editor="Kai-Yuan Cai and Atsushi Ohnishi and M. F. Lau",
	Pages="215-222",
	Publisher="IEEE Computer Society",
	Address="Melbourne, Australia",
	Month="Sep.",
	Isdn="0-7695-2472-9"	
)