Reference : Automated Checking of Conformance to Requirements Templates using Natural Language Pr...
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/20940
Automated Checking of Conformance to Requirements Templates using Natural Language Processing
English
Arora, Chetan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sabetzadeh, Mehrdad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Zimmer, Frank mailto [SES TechCom]
1-May-2015
IEEE Transactions on Software Engineering
Institute of Electrical and Electronics Engineers
41
10
944 - 968
Yes (verified by ORBilu)
International
0098-5589
New York
NY
[en] Requirements Templates ; Natural Language Processing (NLP) ; Case Study Research
[en] Templates are effective tools for increasing the precision of natural language requirements and for avoiding ambiguities that may arise from the use of unrestricted natural language. When templates are applied, it is important to verify that the requirements are indeed written according to the templates. If done manually, checking conformance to templates is laborious, presenting a particular challenge when the task has to be repeated multiple times in response to changes in the requirements. In this article, using techniques from Natural Language Processing (NLP), we develop an automated approach for checking conformance to templates. Specifically, we present a generalizable method for casting templates into NLP pattern matchers and reflect on our practical experience implementing automated checkers for two well-known templates in the Requirements Engineering community. We report on the application of our approach to four case studies. Our results indicate that: (1) our approach provides a robust and accurate basis for checking conformance to templates; and (2) the effectiveness of our approach is not compromised even when the requirements glossary terms are unknown. This makes our work particularly relevant to practice, as many industrial requirements documents have incomplete glossaries.
http://hdl.handle.net/10993/20940
10.1109/TSE.2015.2428709

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
TSE15.pdfAuthor postprint3.48 MBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.