Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-2014

Abstract

Use cases, as the primary techniques in the user requirement analysis, have been widely adopted in the requirement engineering practice. As developed early, use cases also serve as the basis for function requirement development, system design and testing. Errors in the use cases could potentially lead to problems in the system design or implementation. It is thus highly desirable to detect errors in use cases. Automatically analyzing use case documents is challenging primarily because they are written in natural languages. In this work, we aim to achieve automatic defect detection in use case documents by leveraging on advanced parsing techniques. In our approach, we first parse the use case document using dependency parsing techniques. The parsing results of each use case are further processed to form an activity diagram. Lastly, we perform defect detection on the activity diagrams. To evaluate our approach, we have conducted experiments on 200+ real-world as well as academic use cases. The results show the effectiveness of our method.

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 29th ACM/IEEE international conference on Automated software, Västerås, Sweden, 2014 September 15-19

First Page

785

Last Page

790

ISBN

9781450330138

Identifier

10.1145/2642937.2642969

Publisher

ACM

City or Country

Västerås, Sweden

Additional URL

https://doi.org/10.1145/2642937.2642969

Download

Share

COinS