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The authors present a tool called BugFix that can assist developers in fixing program bugs. Their tool automatically analyzes the debugging situation at a statement and reports a prioritized list of relevant bug-fix suggestions that are likely to guide the developer to an appropriate fix at that statement. BugFix incorporates ideas from machine learning to automatically learn from new debugging situations and bug fixes over time. This enables more effective prediction of the most relevant bug-fix suggestions for newly-encountered debugging situations. The tool takes into account the static structure of a statement, the dynamic values used at that statement by both passing and failing runs, and the interesting value mapping pairs associated with that statement.
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