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Correlation Exploitation in Error Ranking (2004)  (Make Corrections)  
Ted Kremenek, Ken Ashcraft, Junfeng Yang, Dawson Engler



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Abstract: Static program checking tools can find many serious bugs in software, but due to analysis limitations they also frequently emit false error reports. Such false positives can easily render the error checker useless by hiding real errors amidst the false. E#ective error report ranking schemes mitigate the problem of false positives by suppressing them during the report inspection process [17, 19,20]. In this way, ranking techniques provide a complementary method to increasing the precision of the ... (Update)

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BibTeX entry:   (Update)

@misc{ kremenek-correlation,
  author = "Ted Kremenek and Ken Ashcraft and Junfeng Yang and Dawson Engler",
  title = "Correlation Exploitation in Error Ranking",
  url = "citeseer.ist.psu.edu/kremenek04correlation.html" }
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