Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)(2021)

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摘要
The software inevitably encounters the crash, which will take developers a large amount of effort to find the fault causing the crash (short for crashing fault). Developing automatic methods to identify the residence of the crashing fault is a crucial activity for software quality assurance. Researchers have proposed methods to predict whether the crashing fault resides in the stack trace based on...
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关键词
Fault diagnosis,Computer languages,Forestry,Software quality,Debugging,Predictive models,Feature extraction
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