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Volumn , Issue , 2010, Pages 11-15

Recommendation and decision technologies for requirements engineering

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION SCENARIO; CRITICAL PHASIS; DECISION MAKING PROCESS; DECISION TECHNOLOGY; PROJECT FAILURES; SOFTWARE LIFE CYCLES;

EID: 77954969560     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1808920.1808923     Document Type: Conference Paper
Times cited : (34)

References (36)
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  • 7
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    • Using data mining and recommender systems to facilitate large-scale, open, and inclusive requirements elicitation processes
    • Barcelona, Spain
    • C. Castro-Herrera, C. Duan, J. Cleland-Huang, and B. Mobasher. Using data mining and recommender systems to facilitate large-scale, open, and inclusive requirements elicitation processes. In 16th IEEE Intl. Conf. on Req. Engineering (RE'08), pages 165-168, Barcelona, Spain, 2008.
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  • 8
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    • An approach to constructing feature models based on requirements clustering
    • Paris, France
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    • Chen, K.1    Zhang, W.2    Zhao, H.3    Mei, H.4
  • 9
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    • Clustering and its application in requirements engineering
    • Chicago, Illinois
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    • (2008) Technical Report, DePaul University
    • Duan, C.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.