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Volumn , Issue , 2012, Pages 89-98

Claims and supporting evidence for self-adaptive systems: A literature study

Author keywords

[No Author keywords available]

Indexed keywords

ASSESSMENT METHODS; EMPIRICAL STUDIES; INDUSTRIAL VALIDATION; RESEARCH RESULTS; SELF ADAPTATION; SELF-ADAPTIVE SYSTEM; SYSTEMATIC STUDY;

EID: 84865109431     PISSN: 21572305     EISSN: 21567891     Source Type: Conference Proceeding    
DOI: 10.1109/SEAMS.2012.6224395     Document Type: Conference Paper
Times cited : (69)

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    • A survey of autonomic computing: Degrees, models, and applications
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    • Huebscher, M.C.1    McCann, J.A.2
  • 6
    • 70349742463 scopus 로고    scopus 로고
    • Self-adaptive software: Landscape and research challenges
    • M. Salehie and L. Tahvildari, "Self-adaptive software: Landscape and research challenges," ACM TAAS, vol. 4, 2009.
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    • Salehie, M.1    Tahvildari, L.2
  • 7
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    • Software engineering for self-adaptive systems: A research roadmap
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    • (2009) LNCS , vol.5525
    • Cheng, B.H.1
  • 9
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    • Lessons from applying the systematic literature review process within the software engineering domain
    • P. Brereton et al., "Lessons from applying the systematic literature review process within the software engineering domain," Journal on Systems and Software, vol. 80, 2007.
    • (2007) Journal on Systems and Software , vol.80
    • Brereton, P.1
  • 11
    • 44649189162 scopus 로고    scopus 로고
    • Empirical studies of agile software development: A systematic review
    • T. Dyb° a and T. Dingsøyr, "Empirical studies of agile software development: A systematic review," Inf. Software Technology, vol. 50, pp. 833-859, 2008.
    • (2008) Inf. Software Technology , vol.50 , pp. 833-859
    • Dyba, T.1    Dingsøyr, T.2
  • 12
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    • Autonomic computing: Emerging trends and open problems
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  • 13
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    • Evaluation issues in autonomic computing
    • Grid and Cooperative Computing. Springer
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    • McCann, J.1    Huebscher, M.2
  • 14
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    • Improving impact of self-adaptation and self-management research through evaluation methodology
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.