NDLI: Pragmatic ambiguity detection in natural language requirements

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Pragmatic ambiguity detection in natural language requirements

Content Provider	IEEE Xplore Digital Library
Author	Ferrari, A. Lipari, G. Gnesi, S. Spagnolo, G.O.
Copyright Year	2014
Description	Author affiliation: ISTI, Pisa, Italy (Ferrari, A.; Lipari, G.; Gnesi, S.; Spagnolo, G.O.)
Abstract	This paper presents an approach for pragmatic ambiguity detection in natural language requirements. Pragmatic ambiguities depend on the context of a requirement, which includes the background knowledge of the reader: different backgrounds can lead to different interpretations. The presented approach employs a graph-based modelling of the background knowledge of different readers, and uses a shortest-path search algorithm to model the pragmatic interpretation of a requirement. The comparison of different pragmatic interpretations is used to decide if a requirement is ambiguous or not. The paper also provides a case study on real-world requirements, where we have assessed the effectiveness of the approach.
Starting Page	1
Ending Page	8
File Size	567824
Page Count	8
File Format	PDF
ISBN	9781479963553
DOI	10.1109/AIRE.2014.6894849
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Natural languages Knowledge based systems Software Indexes Web search Pragmatics
Content Type	Text
Resource Type	Article

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