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Deep learning in static, metric-based bug prediction

https://doi.org/10.1016/j.array.2020.100021

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The prediction of faulty classes using object-oriented design metrics

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2017 IEEE International Conference on Software Quality, Reliability and Security (QRS)

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2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction

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Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement

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Method-level bug prediction

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Software Fault Localization through Aggregation-Based Neural Ranking for Static and Dynamic Features Selection

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