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Volumn 13, Issue 2, 2005, Pages 177-193

A new challenge for applying time series metrics data to software quality estimation

Author keywords

Software quality; Software testing; Statistical analysis; Time series data

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; METRIC SYSTEM; PRODUCT DESIGN; QUALITY CONTROL; STATISTICAL METHODS; TIME SERIES ANALYSIS;

EID: 18244398924     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1007/s11219-005-6216-8     Document Type: Article
Times cited : (12)

References (28)
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  • 2
    • 0024752814 scopus 로고
    • A two-person inspection method to improve programming productivity
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    • Bisant, D.B.1    Lyle, J.R.2
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    • Goel, A.L.1
  • 22
    • 0742321260 scopus 로고    scopus 로고
    • Using machine learning for estimating the defect content after an inspection
    • Padberg, F., Ragg, T., and Schoknecht, R. 2004. Using machine learning for estimating the defect content after an inspection, IEEE Trans. on Software Engineering 30(1): 17-28.
    • (2004) IEEE Trans. on Software Engineering , vol.30 , Issue.1 , pp. 17-28
    • Padberg, F.1    Ragg, T.2    Schoknecht, R.3
  • 23
    • 84946968040 scopus 로고
    • Capability maturity model, version 1.1
    • Paulk, M.C., Curtis, B., and Weber, C. 1993. Capability maturity model, version 1.1, IEEE Software 10(4): 18-27.
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    • Paulk, M.C.1    Curtis, B.2    Weber, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.