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Volumn , Issue , 2005, Pages 26-31

A case study evaluation of 11 hypothetical software system evolution laws

Author keywords

Architecture; Design patterns; Prediction; Software evolution

Indexed keywords

DESIGN PATTERNS; EVOLUTION CHARACTERISTICS; PLATFORM ARCHITECTURE; SOFTWARE ENGINEERING DOMAIN; SOFTWARE EVOLUTION; SOFTWARE SYSTEM EVOLUTIONS; TELECOM MANAGEMENT SYSTEMS; THEORY OF INVENTIVE PROBLEM SOLVING;

EID: 34047171646     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 3
    • 0035561643 scopus 로고    scopus 로고
    • Rules and tools for software evolution planning and management
    • 2001
    • Lehman MM (2002). Rules and tools for software evolution planning and management, Annals of Software Engineering, vol. 11 (2001).
    • (2002) Annals of Software Engineering , vol.11
    • Lehman, M.M.1
  • 5
    • 0004253631 scopus 로고    scopus 로고
    • (Theory of Inventive Problem Solving) (St, Lucy Press, Boca Roton, 1998)
    • Terninko J et al. (1998). Systematic innovation; An introduction to TRIZ (Theory of Inventive Problem Solving) (St, Lucy Press, Boca Roton, 1998).
    • (1998) Systematic Innovation; An Introduction to TRIZ
    • Terninko, J.1
  • 7
    • 57749174445 scopus 로고    scopus 로고
    • The laws of system evolution
    • Petrov V, The laws of system evolution, TRIZ Journal. http://www.triz-journal.com/archives/2002/03/b/.
    • TRIZ Journal
    • Petrov, V.1
  • 8
    • 34247367229 scopus 로고    scopus 로고
    • Understanding open source software evolution: Applying, breaking, and rethinking the laws of software evolution
    • University of California, Irvine, USA
    • Scacchi W, Understanding Open Source Software Evolution: Applying, Breaking, and Rethinking the laws of software evolution, Technical report, Institute for Software Research, University of California, Irvine, USA (2003).
    • (2003) Technical Report, Institute for Software Research
    • Scacchi, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.