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Automatic Detection of Ambiguous Terminology for Software Requirements

  • Yue Wang
  • Irene L. Manotas Gutièrrez
  • Kristina Winbladh
  • Hui Fang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7934)

Abstract

Identifying ambiguous requirements is an important aspect of software development, as it prevents design and implementation errors that are costly to correct. Unfortunately, few efforts have been made to automatically solve the problem. In this paper, we study the problem of lexical ambiguity detection and propose methods that can automatically identify potentially ambiguous concepts in software requirement specifications. Specifically, we focus on two types of lexical ambiguities, i.e., Overloaded and Synonymous ambiguity. Experiment results over four real-world software requirement collections show that the proposed methods are effective in detecting ambiguous terminology.

Keywords

Ambiguity detection Software requirements Overloaded ambiguity Synonymous ambiguity 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yue Wang
    • 1
  • Irene L. Manotas Gutièrrez
    • 1
  • Kristina Winbladh
    • 1
  • Hui Fang
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of DelawareNewarkUSA

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