If At First You Don’t Succeed, Try, Try, Again...? Insights and LLM-informed Tooling for Detecting Retry Bugs in Software Systems
Authors: 
Bogdan Alexandru Stoica, 
Utsav Sethi, 
Yiming Su, Cyrus Zhou, Shan Lu, Jonathan Mace, Madanlal Musuvathi, Suman NathAuthors Info & Claims
Pages 63 - 78
Abstract
Retry---the re-execution of a task on failure---is a common mechanism to enable resilient software systems. Yet, despite its commonality and long history, retry remains difficult to implement and test.
Guided by our study of real-world retry issues, we propose a novel suite of static and dynamic techniques to detect retry problems in software. We find that the ad-hoc nature of retry implementation poses challenges for traditional program analysis but can be well suited for large language models; and that carefully repurposing existing unit tests can, along with fault injection, expose various types of retry problems.
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Index Terms
- If At First You Don’t Succeed, Try, Try, Again...? Insights and LLM-informed Tooling for Detecting Retry Bugs in Software Systems
Index terms have been assigned to the content through auto-classification.
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November 2024
765 pages
ISBN:9798400712517
DOI:10.1145/3694715
- Chair:
- Emmett Witchel,
- Co-chair:
- Christopher J Rossbach,
- Program Chair:
- Andrea Arpaci-Dusseau,
- Program Co-chair:
- Kimberly Keeton
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.
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