Quickly Finding Known Software Problems via Automated Symptom Matching

Author:

Brodie M.,Sheng Ma ,Lohman G.,Mignet L.,Modani N.,Wilding M.,Champlin J.,Sohn P.

Publisher

IEEE

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

2. Separating the Wheat from the Chaff: Using Indexing and Sub-Sequence Mining Techniques to Identify Related Crashes During Bug Triage;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12

3. DeepCrash: deep metric learning for crash bucketing based on stack trace;Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation;2022-11-07

4. FaST;Proceedings of the 19th International Conference on Mining Software Repositories;2022-05-23

5. BuildSheriff;Proceedings of the 44th International Conference on Software Engineering;2022-05-21

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