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Volumn , Issue , 2006, Pages 331-340

Probe distribution techniques to profile events in deployed software

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION LOSS; PROBE DISTRIBUTION;

EID: 34547686008     PISSN: 10719458     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSRE.2006.36     Document Type: Conference Paper
Times cited : (13)

References (23)
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    • Arnold, M.1    Ryder, B.2
  • 3
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    • Profiling Deployed Software: Strategic Probe Placement
    • Technical Report TR05-08-01, University of Nebraska, Lincoln, Aug
    • M. Diep, S. Elbaum, and M. Cohen. Profiling Deployed Software: Strategic Probe Placement. Technical Report TR05-08-01, University of Nebraska - Lincoln, Aug. 2005.
    • (2005)
    • Diep, M.1    Elbaum, S.2    Cohen, M.3
  • 4
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    • Profiling java applications using code hotswapping and dynamic call graph revelation
    • M. Dmitriev. Profiling java applications using code hotswapping and dynamic call graph revelation. In Int. Workshop on Soft, and Performance, pages 139-150, 2004.
    • (2004) Int. Workshop on Soft, and Performance , pp. 139-150
    • Dmitriev, M.1
  • 5
    • 22944444504 scopus 로고    scopus 로고
    • Profiling deployed software: Assessing strategies and testing opportunities
    • S. Elbaum and M. Diep. Profiling deployed software: Assessing strategies and testing opportunities. IEEE Trans. Soft. Eng., 31(4):312-327, 2005.
    • (2005) IEEE Trans. Soft. Eng , vol.31 , Issue.4 , pp. 312-327
    • Elbaum, S.1    Diep, M.2
  • 6
    • 16244415093 scopus 로고    scopus 로고
    • An empirical study of profiling strategies for released software and their impact on testing activities
    • June
    • S. Elbaum and M. Hardojo. An empirical study of profiling strategies for released software and their impact on testing activities. In Int. Symp. on Soft. Testing and Analysis, pages 65 - 75, June 2004.
    • (2004) Int. Symp. on Soft. Testing and Analysis , pp. 65-75
    • Elbaum, S.1    Hardojo, M.2
  • 7
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    • Exploiting hardware performance counters with flow and context sensitive profiling
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    • (1997) ACM SIGPLANNotices , vol.32 , Issue.5 , pp. 85-96
    • Glenn, A.1    Ball, T.2    Laras, J.3
  • 8
    • 84976736522 scopus 로고
    • Gprof: A call graph execution profiler
    • June
    • S. Graham and M. McKusick. Gprof: a call graph execution profiler. ACM SIGPLAN SCC, 17(6):120-126, June 1982.
    • (1982) ACM SIGPLAN SCC , vol.17 , Issue.6 , pp. 120-126
    • Graham, S.1    McKusick, M.2
  • 9
    • 0031597159 scopus 로고    scopus 로고
    • An approach to large-scale collection of application usage data over the Internet
    • D. Hilbert and D. Redmiles. An approach to large-scale collection of application usage data over the Internet. In Int. Conf. on Soft. Eng., pages 136-145, 1998.
    • (1998) Int. Conf. on Soft. Eng , pp. 136-145
    • Hilbert, D.1    Redmiles, D.2
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    • ACM, September
    • A. Orso, T. Apiwattanapong, and M.J.Harrold. Leveraging field data for impact analysis and regression testing. In Foundations of Soft. Eng., pages 128-137. ACM, September 2003.
    • (2003) Foundations of Soft. Eng , pp. 128-137
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    • Static and dynamic analysis of call chains in java
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    • Souter, A.L.1    Pollock, L.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.