Improving use case driven analysis using goal and scenario authoring: a linguistics-based approach

Authors:
Jintae Kim;Sooyong Park;Vijayan Sugumaran
Affiliations:
Department of Computer Science, Sogang University, Sinsu-Dong, Mapo-gu, Seoul, Republic of Korea;Department of Computer Science, Sogang University, Sinsu-Dong, Mapo-gu, Seoul, Republic of Korea;Department of Decision and Information Sciences, Oakland University, Rochester, MI
Venue:
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
Year:
2006

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Abstract

Use case driven analysis does not facilitate effective requirements elicitation or provide rationale for the various artifacts that get generated during the requirements analysis phase. On the other hand, goal and scenario based approach is considered to be effective for elicitation but it does not lead to use cases. This paper discusses how to combine goal and scenario based requirements elicitation technique with use case driven analysis using natural language concepts. In our proposed approach, four levels of goals, scenario authoring rules, and linguistic techniques have been developed to identify use cases from text based goal and scenario descriptions. The artifacts resulting from our approach could be used as input to a use case diagramming tool to automate the process of use case diagram generation.