2016
DOI: 10.1016/j.csi.2016.03.002
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CDNFRE: Conflict detector in non-functional requirement evolution based on ontologies

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Cited by 18 publications
(11 citation statements)
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“…Dealing with NFRs is a major challenge in software development [1]. Analyzing conflicts in NFRs is a major task in large software systems development projects [6]. Throughout the requirement engineering process, when improving the quality of software, selecting effective strategies for every NFR is an essential activity in requirements engineering.…”
Section: Discussionmentioning
confidence: 99%
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“…Dealing with NFRs is a major challenge in software development [1]. Analyzing conflicts in NFRs is a major task in large software systems development projects [6]. Throughout the requirement engineering process, when improving the quality of software, selecting effective strategies for every NFR is an essential activity in requirements engineering.…”
Section: Discussionmentioning
confidence: 99%
“…Then based on Chen and Sanguansat's fuzzy ranking method [27], calculating the areas Area − iL , Area − iR , Area + iL , and Area + iL on the negative side and the positive side in Eqs. (4), (5), (6), and (7), respectively. They denote the trapezoidal areas from the membership function curves of f L N i and f R N i , which are defined in Eqs.…”
Section: A Nfrs Obtaining and Assessmentmentioning
confidence: 99%
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“…In this section, we will review some of the works that are published after 2013 and assess if there has been a shift in the use of ontologies in the requirements engineering process . Liu [13], developed a mechanism for automatically detecting conflicts in nonfunctional requirements. He developed a tool, CDNFRE, that include four essential elements namely metadata, ontology, cause-and-effect relationship, and conflict detection rule.…”
Section: Related Workmentioning
confidence: 99%
“…NFR classification approach uses ontology realizing with metamodel based on cause-effect and inferences knowledge [19].…”
Section: Related Workmentioning
confidence: 99%