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Rule-based extraction of goal-use case models from text
conference contribution
posted on 2015-08-30, 00:00 authored by T H Nguyen, John Grundy, M AlmorsyGoal and use case modeling has been recognized as a key approach for understanding and analyzing requirements. However, in practice, goals and use cases are often buried among other content in requirements specifications documents and written in unstructured styles. It is thus a time-consuming and error-prone process to identify such goals and use cases. In addition, having them embedded in natural language documents greatly limits the possibility of formally analyzing the requirements for problems. To address these issues, we have developed a novel rule-based approach to automatically extract goal and use case models from natural language requirements documents. Our approach is able to automatically categorize goals and ensure they are properly specified. We also provide automated semantic parameterization of artifact textual specifications to promote further analysis on the extracted goal-use case models. Our approach achieves 85% precision and 82% recall rates on average for model extraction and 88% accuracy for the automated parameterization.
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Event
European Software Engineering and Foundations of Software Engineering. Conference (10th : 2015 : Bergamo, Italy)Pagination
591 - 601Publisher
Association for Computer MachineryLocation
Bergamo, ItalyPlace of publication
New York, N.Y.Publisher DOI
Start date
2015-08-30End date
2015-09-04ISBN-13
9781450336758Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2015, Association for Computer MachineryEditor/Contributor(s)
E Di Nitto, M Harman, P HeymansTitle of proceedings
ESEC/FSE 2015 : Proceedings of the 10th joint European Software Engineering and Foundations of Software Engineering ConferenceUsage metrics
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