NDLI: Requirement Phrasing Assistance Using Automatic Quality Assessment

Content Provider	IEEE Xplore Digital Library
Author	Allahyari-Abhari, A. Soeken, M. Drechsler, R.
Copyright Year	2015
Description	Author affiliation: Cyber-Phys. Syst., DFKI GmbH, Bremen, Germany (Allahyari-Abhari, A.; Soeken, M.; Drechsler, R.)
Abstract	The design of modern hardware systems is a very complex and time consuming process. At the beginning of the design process, requirements need to be specified. Errors in that early design stage derived by misinterpretation of the requirements can be hard to detect and require significant effort and costs to get fixed. To prevent errors, requirements should be written in a comprehensive and unambiguous way. Thus, designers are interested in automatic assistance tools that help writing better requirements. Conventional approaches are usually rule-based, thus many syntactic and semantic properties are not considered. In this paper we introduce an alternative approach to ensure the quality of requirements. The approach has two stages and assists the designer by providing (i) all relevant statistics about the syntactic and semantic properties of the sentence, and (ii) a single consolidated nominal quality predicate for the sentence such as good, medium, or bad. Although such statistical quality assessment leads to already satisfying results, the algorithm prediction reliability can further be enhanced by machine learning techniques. The achieved reliability for quality assessment in combination with the overview of the metrics about syntax and semantic can help the designer to write more comprehensive and less ambiguous requirements.
Starting Page	183
Ending Page	188
File Size	149814
Page Count	6
File Format	PDF
ISBN	9781479967797
e-ISBN	9781479967803
DOI	10.1109/DDECS.2015.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-22
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Syntactics Semantics Machine learning algorithms Measurement Compounds Quality assessment Reliability natural language processing Hardware/Software Co-Design specifications requirements
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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