AN INTEGRATED TOOL FOR SUPPORTING ONTOLOGY DRIVEN REQUIREMENTS ELICITATION

Motohiro Kitamura, Ryo Hasegawa, Haruhiko Kaiya, Motoshi Saeki

Abstract

Since requirements analysts do not have sufficient knowledge on a problem domain, i.e. domain knowledge, the technique how to make up for lacks of domain knowledge is a key issue. This paper proposes the usage of a domain ontology as domain knowledge during requirements elicitation processes and the technique to create a domain ontology for a certain problem domain by using text-mining techniques.

References

  1. Breitman, K. and Leite, J. (2003). Ontology as a Requirements Engineering Product. In Proc. of 11th IEEE Requirements Engineering Conference (RE01), pages 309-319.
  2. Cimiano, P. and Volker, J. (2005). Text2onto : A framework for ontology learning and data-driven change discovery. In Lecture Notes in Computer Science, volume 3513, pages 227-238.
  3. Goldin, L. and Berry, D. (1997). AbstFinder, A Prototype Natural Language Text Abstraction Finder for Use in Requirements Elicitation. Automated Software Engineering Journal, 4(4):375 - 412.
  4. IEEE (1998). IEEE Recommended Practice for Software Requirements Specifications. IEEE Std. 830-1998.
  5. Kaiya, H. and Saeki, M. (2006). Using domain ontology as domain knowledge for requirements elicitation. In Proc. of 14th IEEE International Requirements Engineering Conference (RE'06), pages 189-198.
  6. Kof, L. (2004). Natural Language Processing for Requirements Engineering: Applicability to Large Requirements Documents. In Proc. of the Workshops, 19th International Conference on Automated Software Engineering.
  7. Lecceuche, R. (2000). Finding Comparatively Important Concepts between Texts. In The Fifteenth IEEE International Conference on Automated Software Engineering (ASE'00), pages 55-60, Grenoble, France.
  8. Mizoguchi, R., Ikeda, M., Seta, K., and Vanwelkenhuysen, J. (1995). Ontology for modeling the world from problem solving perspectives. In IJCAI Workshop on Basic Ontological Issues in Knowledge Sharing.
  9. Navigli, R., Velardi, P., and Gangemi, A. (2003). Ontology learning and its application to automated terminology translation. IEEE Intelligent Systems, 18(1):22-31.
  10. Zhang, W., Mei, H., and Zhao, H. (2005). A FeatureOriented Approach to Modeling Requirements Dependencies. In Proc. of 13th IEEE International Conference on Requirements Engineering (RE'05), pages 273-284.
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Paper Citation


in Harvard Style

Kitamura M., Hasegawa R., Kaiya H. and Saeki M. (2007). AN INTEGRATED TOOL FOR SUPPORTING ONTOLOGY DRIVEN REQUIREMENTS ELICITATION . In Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-06-7, pages 73-80. DOI: 10.5220/0001330000730080


in Bibtex Style

@conference{icsoft07,
author={Motohiro Kitamura and Ryo Hasegawa and Haruhiko Kaiya and Motoshi Saeki},
title={AN INTEGRATED TOOL FOR SUPPORTING ONTOLOGY DRIVEN REQUIREMENTS ELICITATION},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2007},
pages={73-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001330000730080},
isbn={978-989-8111-06-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - AN INTEGRATED TOOL FOR SUPPORTING ONTOLOGY DRIVEN REQUIREMENTS ELICITATION
SN - 978-989-8111-06-7
AU - Kitamura M.
AU - Hasegawa R.
AU - Kaiya H.
AU - Saeki M.
PY - 2007
SP - 73
EP - 80
DO - 10.5220/0001330000730080