Automatically analyzing groups of crashes for finding correlations

Author:

Castelluccio Marco1,Sansone Carlo2,Verdoliva Luisa2,Poggi Giovanni2

Affiliation:

1. Federico II University of Naples, Italy / Mozilla, UK

2. Federico II University of Naples, Italy

Funder

Università degli Studi di Napoli Federico II

Compagnia di San Paolo

Publisher

ACM

Cited by 16 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. LogRule: Efficient Structured Log Mining for Root Cause Analysis;IEEE Transactions on Network and Service Management;2023-12

2. Generic and robust root cause localization for multi-dimensional data in online service systems;Journal of Systems and Software;2023-09

3. CONAN: Diagnosing Batch Failures for Cloud Systems;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2023-05

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. Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems;SSRN Electronic Journal;2022

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