On Matching Log Analysis to Source Code
Author:
Affiliation:
1. Computer Science, Baylor University, Waco, Texas, USA
2. CS, FEE, Czech Technical University Prague, Czech Republic
3. Red Hat Brno, Czech Republic
4. Computer Science, New Mexico Tech Socorro, New Mexico, United States
Funder
Red Hat Research
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3400286.3418262
Reference25 articles.
1. Execution anomaly detection in large-scale systems through console log analysis
2. Tomas Cerny Jan Svacina Dipta Das Vincent Bushong Miroslav Bures Pavel Tisnovsky Karel Frajtak Dongwan Shin and Jun Huang. 2020. On Code Analysis Opportunities and Challenges for Enterprise Systems and Microservices. IEEE Access (2020) 1--22. https://doi.org/10.1109/ACCESS.2020.3019985 Tomas Cerny Jan Svacina Dipta Das Vincent Bushong Miroslav Bures Pavel Tisnovsky Karel Frajtak Dongwan Shin and Jun Huang. 2020. On Code Analysis Opportunities and Challenges for Enterprise Systems and Microservices. IEEE Access (2020) 1--22. https://doi.org/10.1109/ACCESS.2020.3019985
3. An automated approach to estimating code coverage measures via execution logs
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