Reference : Requirement Boilerplates: Transition From Manually-Enforced to Automatically-Verifiab...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/17038

Title :	Requirement Boilerplates: Transition From Manually-Enforced to Automatically-Verifiable Natural Language Patterns
Language :	English
Author, co-author :	Arora, Chetan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Sabetzadeh, Mehrdad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Briand, Lionel [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 []
Publication date :	Aug-2014
Main document title :	Requirements Patterns (RePa), 2014 IEEE 4th International Workshop on
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
Event name :	Fourth International Workshop on Requirements Patterns (RePa) 2014
Event date :	26-08-2014
Event organizer :	IEEE
Event place (city) :	Karlskrona
Event country :	Sweden
Keywords :	[en] Requirement Boilerplates ; Natural Language Processing (NLP) ; NLP Pattern Matching ; Text Chunking
Abstract :	[en] By enforcing predefined linguistic patterns on requirements statements, boilerplates serve as an effective tool for mitigating ambiguities and making Natural Language requirements more amenable to automation. For a boilerplate to be effective, one needs to check whether the boilerplate has been properly applied. This should preferably be done automatically, as manual checking of conformance to a boilerplate can be laborious and error prone. In this paper, we present insights into building an automatic solution for checking conformance to requirement boilerplates using Natural Language Processing (NLP). We present a generalizable method for casting requirement boilerplates into automated NLP pattern matchers and reflect on our practical experience implementing automated checkers for two well-known boilerplates in the RE community. We further highlight the use of NLP for identification of several problematic syntactic constructs in requirements which can lead to ambiguities.
Permalink :	http://hdl.handle.net/10993/17038

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