2014
Conference article  Restricted

Pragmatic ambiguity detection in natural language requirements

Ferrari A., Lipari G., Gnesi S., Spagnolo G. O.

D.2.2 Software Engineering. Design Tools and Techniques  Natural language processing  Pragmatic ambiguity detection  D.2.4 Software/Program Verification 

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.

Source: AIRE 2014 - IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, pp. 1–8, Karlskrona, Germany, 24-26 August 2014


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:305232,
	title = {Pragmatic ambiguity detection in natural language requirements},
	author = {Ferrari A. and Lipari G. and Gnesi S. and Spagnolo G. O.},
	doi = {10.1109/aire.2014.6894849},
	booktitle = {AIRE 2014 - IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, pp. 1–8, Karlskrona, Germany, 24-26 August 2014},
	year = {2014}
}

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