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Volumn 46, Issue 4, 2004, Pages 243-253

Software release planning: An evolutionary and iterative approach

Author keywords

Genetic algorithm; Incremental software development; Release planning; Requirements prioritization; Software engineering decision support

Indexed keywords

CUSTOMER SATISFACTION; DECISION MAKING; GENETIC ALGORITHMS; ITERATIVE METHODS; OPTIMIZATION;

EID: 0742307215     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infsof.2003.07.002     Document Type: Article
Times cited : (350)

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    • Sizing populations for serial and parallel genetic algorithms
    • J.D. Shafer. Los Altos, CA, USA: Morgan Kaufman
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    • Goldberg, D.E.1
  • 12
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  • 14
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    • Optimum population size and mutation rate for a simple real genetic algorithm that optimizes array factors
    • Piscataway, NJ, USA
    • Haupt R.L. Optimum population size and mutation rate for a simple real genetic algorithm that optimizes array factors. IEEE Antennas and Propogation Society International Symposium. Part 2, Piscataway, NJ, USA. vol. 2:2000;1034-1037.
    • (2000) IEEE Antennas and Propogation Society International Symposium. Part 2 , vol.2 , pp. 1034-1037
    • Haupt, R.L.1
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    • (2002)
  • 22
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    • Proceedings on 'Requirements Management for the Incremental Development Model'
    • Wang Q., Lai X. Proceedings on 'Requirements Management for the Incremental Development Model'. Second Asia-Pacific Conference on Quality Software. 2001;. pp. 295-301.
    • (2001) Second Asia-Pacific Conference on Quality Software , pp. 295-301
    • Wang, Q.1    Lai, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.