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Volumn , Issue , 2013, Pages 131-136

Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection

Author keywords

Bug duplicates; hubs; issue tracking; ranking

Indexed keywords

BUG DUPLICATES; BUG TRACKING SYSTEM; DUPLICATE DETECTION; HUBS; ISSUE TRACKING; RANKING; TEMPORAL EVOLUTION; UNDERLYING DISTRIBUTION;

EID: 84891274296     PISSN: 13301012     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2498/iti.2013.0488     Document Type: Conference Paper
Times cited : (7)

References (22)
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  • 9
    • 84875826407 scopus 로고    scopus 로고
    • Practical duplicate bug reports detection in a large web-based development community
    • Liang F et al. Practical Duplicate Bug Reports Detection in a Large Web-Based Development Community. In: Web Technologies and Applications; 2013. p. 709-729.
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    • Liang, F.1
  • 10
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    • Handling language variations in open source bug reporting systems
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    • Banerjee, S.1
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    • A comparative study of the performance of IR models on duplicate bug detection
    • Kaushik N, Tahvildari L. A Comparative Study of the Performance of IR Models on Duplicate Bug Detection. In: Software Maintenance and Reengineering (CSMR); 2012. p. 159-168.
    • (2012) Software Maintenance and Reengineering (CSMR) , pp. 159-168
    • Kaushik, N.1    Tahvildari, L.2
  • 19
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    • Nearest neighbor voting in high-dimensional data: Learning from past occurrences
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    • Tomašev, N.1    Mladeni, D.2
  • 21
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    • Hubnessaware shared neighbor distances for highdimensional k-nearest neighbor classification
    • Tomašev N, Mladeni D. Hubnessaware shared neighbor distances for highdimensional k-nearest neighbor classification. Knowledge and Information Systems 2013.
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    • Tomašev, N.1    Mladeni, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.