Addressing the challenges of requirements ambiguity: A review of empirical literature

Bano, M

Addressing the challenges of requirements ambiguity: A review of empirical literature

Bano, M

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Publication Type:: Conference Proceeding
Citation:: 5th International Workshop on Empirical Requirements Engineering, EmpiRE 2015 - Proceedings, 2016, pp. 21 - 24
Issue Date:: 2016-03-10

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Field	Value	Language
dc.contributor.author	Bano, M https://orcid.org/0000-0002-1447-9521	en_US
dc.date.issued	2016-03-10	en_US
dc.identifier.citation	5th International Workshop on Empirical Requirements Engineering, EmpiRE 2015 - Proceedings, 2016, pp. 21 - 24	en_US
dc.identifier.isbn	9781509001163	en_US
dc.identifier.uri	http://hdl.handle.net/10453/36563
dc.description.abstract	© 2015 IEEE. Ambiguity in natural language requirements has long been recognized as an inevitable challenge in requirements engineering (RE). Various initiatives have been taken by RE researchers to address the challenges of ambiguity. In this paper the results of a mapping study are presented that focus on the application of Natural Language Processing (NLP) techniques for addressing ambiguity in requirements. Systematic review of the literature resulted in 174 studies on the subject published during 1995 to 2015, and out of these only 28 are empirically evaluated studies that were selected. From of the resulting set of papers, 81% have focused on detecting ambiguity; whereas 4% and 5% are focusing on reducing and removing ambiguity respectively. Addressing syntactic, semantic, and lexical ambiguities has attracted more attention than other types. In spite of all the research efforts, there is a lack of empirical evaluation of NLP tools and techniques for addressing ambiguity in requirements. The results have pointed out some gaps in empirical results and have raised questions the designing of an analytical framework for research in this field.	en_US
dc.relation.ispartof	5th International Workshop on Empirical Requirements Engineering, EmpiRE 2015 - Proceedings	en_US
dc.relation.isbasedon	10.1109/EmpiRE.2015.7431303	en_US
dc.title	Addressing the challenges of requirements ambiguity: A review of empirical literature	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
dc.location.activity	Ottawa, Canada
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences/FASS Faculty Administration
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. Ambiguity in natural language requirements has long been recognized as an inevitable challenge in requirements engineering (RE). Various initiatives have been taken by RE researchers to address the challenges of ambiguity. In this paper the results of a mapping study are presented that focus on the application of Natural Language Processing (NLP) techniques for addressing ambiguity in requirements. Systematic review of the literature resulted in 174 studies on the subject published during 1995 to 2015, and out of these only 28 are empirically evaluated studies that were selected. From of the resulting set of papers, 81% have focused on detecting ambiguity; whereas 4% and 5% are focusing on reducing and removing ambiguity respectively. Addressing syntactic, semantic, and lexical ambiguities has attracted more attention than other types. In spite of all the research efforts, there is a lack of empirical evaluation of NLP tools and techniques for addressing ambiguity in requirements. The results have pointed out some gaps in empirical results and have raised questions the designing of an analytical framework for research in this field.

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http://hdl.handle.net/10453/36563