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Ontology Based Requirements Analysis: Lightweight Semantic Processing Approach
Melbourne, Australia September 19-September 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/QSIC.2005.46Fifth International Conference on Qua ...
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Haruhiko Kaiya, Motoshi Saeki, "Ontology Based Requirements Analysis: Lightweight Semantic Processing Approach," Quality Software, International Conference on, pp. 223-230, Fifth International Conference on Quality Software (QSIC'05), 2005.
 
 
BibTex
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@article{ 10.1109/QSIC.2005.46,
author = {Haruhiko Kaiya and Motoshi Saeki},
title = {Ontology Based Requirements Analysis: Lightweight Semantic Processing Approach},
journal ={Quality Software, International Conference on},
volume = {0},
year = {2005},
issn = {1550-6002},
pages = {223-230},
doi = {http://doi.ieeecomputersociety.org/10.1109/QSIC.2005.46},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Quality Software, International Conference on
TI - Ontology Based Requirements Analysis: Lightweight Semantic Processing Approach
SN - 1550-6002
SP223
EP230
A1 - Haruhiko Kaiya,
A1 - Motoshi Saeki,
PY - 2005
KW - Requirements Engineering
KW - Lightweight semantic processing
KW - Thesaurus.
VL - 0
JA - Quality Software, International Conference on
ER -
 
Haruhiko Kaiya, Shinshu University, Japan
Motoshi Saeki, Tokyo Institute of Technology, Japan
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.
Index Terms:
Requirements Engineering, Lightweight semantic processing, Thesaurus.
Citation:
Haruhiko Kaiya, Motoshi Saeki, "Ontology Based Requirements Analysis: Lightweight Semantic Processing Approach," qsic, pp.223-230, Fifth International Conference on Quality Software (QSIC'05), 2005
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