Software debugging analysis based on developer behavior data

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1 IntroductionrnSoftware debugging is one of the most costly activities in software development process.It mainly consists of four core tasks,namely fault detection, fault localization, fault understanding and fault fixing.Among them, fault localization normally requires the longest time and the largest efforts [1].However, the existing fault localization methods are based on the assumption of “perfect fault understanding”, which refers to that the developers fully understand the fault when they are only given the list of suspicious statements.In addition, some researchers [2, 3]doubted the effectiveness of fault localization methods, and they performed experimental studies that showed the unsatisfactory performance of some spectrum-based localization techniques.
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