TraceSim: a method for calculating stack trace similarity-Reference-Cited by-同舟云学术

TraceSim: a method for calculating stack trace similarity

Published:2020-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation
language:
Short-container-title:

Author:

Vasiliev Roman¹^ORCID,Koznov Dmitrij²^ORCID,Chernishev George²^ORCID,Khvorov Aleksandr³^ORCID,Luciv Dmitry²^ORCID,Povarov Nikita¹^ORCID

Affiliation:

1. JetBrains, Russia

2. Saint-Petersburg State University, Russia

3. JetBrains, Russia / ITMO University, Russia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3416505.3423561

Reference28 articles.

1. J. Bergstra R. Bardenet Y. Bengio and B. Kégl. 2011. Algorithms for HyperParameter Optimization ( NIPS'11). 2546-2554. J. Bergstra R. Bardenet Y. Bengio and B. Kégl. 2011. Algorithms for HyperParameter Optimization ( NIPS'11). 2546-2554.

2. J. Bergstra D. Yamins and D.D. Cox. 2013. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures (ICML'13). JMLR.org I-115-I-123. J. Bergstra D. Yamins and D.D. Cox. 2013. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures (ICML'13). JMLR.org I-115-I-123.

3. M. Brodie etal 2005. Quickly Finding Known Software Problems via Automated Symptom Matching (ICAC'05). 101-110. https://doi.org/10.1109/ICAC. 2005.49 10.1109/ICAC.2005.49 M. Brodie et al. 2005. Quickly Finding Known Software Problems via Automated Symptom Matching (ICAC'05). 101-110. https://doi.org/10.1109/ICAC. 2005.49 10.1109/ICAC.2005.49

4. The unreasonable effectiveness of traditional information retrieval in crash report deduplication

Cited by 10 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. Foliage: Nourishing Evolving Software by Characterizing and Clustering Field Bugs;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. 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

3. CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-02-06

4. 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

5. 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