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Volumn , Issue , 2009, Pages 161-170

A model building process for identifying actionable static analysis alerts

Author keywords

[No Author keywords available]

Indexed keywords

BEST MODEL; BUILDING PROCESS; FALSE POSITIVE; FIELD FAILURE; MACHINE LEARNING ALGORITHMS; MACHINE LEARNING TECHNIQUES; OPEN SOURCE PROJECTS; POTENTIAL SOURCES; SOFTWARE PROCESS;

EID: 67650098688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICST.2009.45     Document Type: Conference Paper
Times cited : (72)

References (20)
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    • Brun, Y.1    Ernst, M.D.2
  • 6
    • 67650213214 scopus 로고    scopus 로고
    • A measurement framework of alert characteristics for false positive mitigation models
    • October 6
    • S. Heckman and L. Williams, "A Measurement Framework of Alert Characteristics for False Positive Mitigation Models," North Carolina State University TR-2008-23, October 6, 2008.
    • (2008) North Carolina State University TR-2008-23
    • Heckman, S.1    Williams, L.2
  • 7
    • 62949138527 scopus 로고    scopus 로고
    • On establishing a benchmark for evaluating static analysis alert prioritization and classification techniques
    • Kaiserslautern, Germany, October 9-10
    • S. Heckman and L. Williams, "On Establishing a Benchmark for Evaluating Static Analysis Alert Prioritization and Classification Techniques," 2nd International Symposium on Empirical Software Engineering and Measurement, Kaiserslautern, Germany, October 9-10, 2008, pp. 41-50.
    • (2008) 2nd International Symposium on Empirical Software Engineering and Measurement , pp. 41-50
    • Heckman, S.1    Williams, L.2
  • 8
    • 57349179274 scopus 로고    scopus 로고
    • Adaptively ranking alerts generated from automated static analysis
    • S. S. Heckman, "Adaptively Ranking Alerts Generated from Automated Static Analysis," in ACM Crossroads. vol. 14, no. 1, 2007, pp. 16-20.
    • (2007) in ACM Crossroads. , vol.14 , Issue.1 , pp. 16-20
    • Heckman, S.S.1
  • 10
    • 34548771220 scopus 로고    scopus 로고
    • Prioritizing warning categories by analyzing software history
    • Minneapolis, MN, USA, May 19-20
    • S. Kim and M. D. Ernst, "Prioritizing Warning Categories by Analyzing Software History," International Workshop on Mining Software Repositories, Minneapolis, MN, USA, May 19-20, 2007, p. 27.
    • (2007) International Workshop on Mining Software Repositories
    • Kim, S.1    Ernst, M.D.2
  • 13
    • 35248882461 scopus 로고    scopus 로고
    • Z-Ranking: Using statistical analysis to counter the impact of static analysis approximations
    • San Diego, California
    • T. Kremenek and D. Engler, "Z-Ranking: Using Statistical Analysis to Counter the Impact of Static Analysis Approximations," 10th International Static Analysis Symposium, San Diego, California, 2003, pp. 295-315.
    • (2003) 10th International Static Analysis Symposium , pp. 295-315
    • Kremenek, T.1    Engler, D.2
  • 14
    • 33749637286 scopus 로고    scopus 로고
    • Mining metrics to predict component failures
    • Proceeding of the 28th International Conference on Software Engineering 2006, ICSE '06
    • N. Nagappan, T. Ball, and A. Zeller, "Mining Metrics to Predict Component Failures," 28th International Conference on Software Engineering, Shanghai, China, May 20-28, 2006, pp. 452-461. (Pubitemid 46600942)
    • (2006) Proceedings - International Conference on Software Engineering , vol.2006 , pp. 452-461
    • Nagappan, N.1    Ball, T.2    Zeller, A.3
  • 16
    • 0003625739 scopus 로고    scopus 로고
    • Software engineering: A practitioner's approach
    • McGraw Hill
    • R. S. Pressman, Software Engineering: A Practitioner's Approach, 6th ed. Boston: McGraw Hill, 2005.
    • (2005) 6th ed. Boston
    • Pressman, R.S.1
  • 18
    • 33644657610 scopus 로고    scopus 로고
    • Software defect association mining and defect correction effort prediction
    • DOI 10.1109/TSE.2006.1599417
    • Q. Song, M. Shepperd, M. Cartwright, and C. Mair, "Software Defect Association Mining and Defect Correction Effort Prediction," IEEE Transactions on Software Engineering, vol. 32, no. 2, pp. 69-82, February, 2006. (Pubitemid 43323904)
    • (2006) IEEE Transactions on Software Engineering , vol.32 , Issue.2 , pp. 69-82
    • Song, Q.1    Shepperd, M.2    Cartwright, M.3    Mair, C.4
  • 19
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    • Automatic mining of source code repositories to improve bug finding techniques
    • DOI 10.1109/TSE.2005.63
    • C. C. Williams and J. K. Hollingsworth, "Automatic Mining of Source Code Repositories to Improve Bug Finding Techniques," IEEE Transactions on Software Engineering, vol. 31, no. 6, pp. 466-480, 2005. (Pubitemid 41245069)
    • (2005) IEEE Transactions on Software Engineering , vol.31 , Issue.6 , pp. 466-480
    • Williams, C.C.1    Hollingsworth, J.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.