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Nowadays, many software organizations rely on automatic problem reporting tools to collect crash reports directly from users’ environments. These crash reports are later grouped together into crash types. Usually, developers prioritize crash types based on the number of crash reports and file bug reports for the top crash types. Because a bug can trigger a crash in different usage scenarios, different crash types are sometimes related to the same bug. Two bugs are correlated when the occurrence of one bug causes the other bug to occur. We refer to a group of crash types related to identical or correlated bug reports, as a crash correlation group. In this paper, we propose five rules to identify correlated crash types automatically. We propose an algorithm to locate and rank buggy files using crash correlation groups. We also propose a method to identify duplicate and related bug reports. Through an empirical …