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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Automatic clustering of non-functional requirements

Authors: Fabbrini F; Fusani M; Gnesi S; Lami G;

Automatic clustering of non-functional requirements

Abstract

Achieving requirement quality is a crucial factor for the quality of the final product. Requirements quality depends also on the way functional and non-functional requirements are organized in the requirement documents. In fact, it is very important to distinguish these two types of requirements in order to guarantee traceability, completeness and lack of contraddictions. In particular, the identification and distinction between functional and non-functional reuqirements is a a key issue for well written requirement documents. In this paper we describe a methodology for facing these problems based on the extraction of non-functiona requirementsl. The possibility to create clustering of requirements according to a specific factor facilitates their analysis aimed at detecting possible inconsistencies and incompletenesses. The methodology has been made automatic by means of a tool able to build clusters.

Country
Italy
Keywords

Non-Functional Requirements, Requirements Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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