If At First You Don’t Succeed, Try, Try, Again...? Insights and LLM-informed Tooling for Detecting Retry Bugs in Software Systems
Year: 2024
Type: conference-paper
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.
Institutions: University of Chicago, Microsoft (United States)
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: CNS Core: Medium: Accurate Anytime Learning for Energy andTimeliness in Software Systems, CSR: Medium: Improving the Interface between Machine Learning and Software Systems, Collaborative Research: PPoSS: LARGE: ScaleStuds: Foundations for Correctness Checkability and Performance Predictability of Systems at Scale
OpenAlex ID: W4404400648
