Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs

Author:

Chen An Ran1,Chen Tse-Hsun Peter2,Wang Shaowei3

Affiliation:

1. Gina Cody School of Engineering and Computer Science, Concordia University, 5618 Montreal, Quebec, Canada, (e-mail: archen94@gmail.com)

2. Computer Science and Software Engineering, Concordia University, 5618 Montreal, Quebec, Canada, H3G 2W1 (e-mail: peterc@encs.concordia.ca)

3. Computer Science, University of Manitoba, 8664 Winnipeg, Manitoba, Canada, R3T 2N2 (e-mail: shaoweiwang.2010@hotmail.com)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

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1. A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. LILAC: Log Parsing using LLMs with Adaptive Parsing Cache;Proceedings of the ACM on Software Engineering;2024-07-12

3. HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources;ACM Transactions on Software Engineering and Methodology;2024-07

4. Fine-Grained Bug Localization Based on Rich Context using Attention Tree-GRU;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

5. Why and how bug blocking relations are breakable: An empirical study on breakable blocking bugs;Information and Software Technology;2024-02

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