Failures and Fixes: A Study of Software System Incident Response
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Abstract (arXiv)
This paper presents the results of a research study related to software system failures, with the goal of understanding how we might better evolve, maintain and support software systems in production. We have qualitatively analyzed thirty incidents: fifteen collected through in depth interviews with engineers, and fifteen sampled from publicly published incident reports (generally produced as part of postmortem reviews). Our analysis focused on understanding and categorizing how failures occurred, and how they were detected, investigated and mitigated. We also captured analytic insights related to the current state of the practice and associated challenges in the form of 11 key observations. For example, we observed that failures can cascade through a system leading to major outages; and that often engineers do not understand the scaling limits of systems they are supporting until those limits are exceeded. We argue that the challenges we have identified can lead to improvements to how systems are engineered and supported.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Aug 2020.
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Citing papers per year: 2024: 1; 2025: 0; 2026: 3.
4 papers.
- 2024A Survey on Failure Analysis and Fault Injection in AI Systemscited by 7
- 2026What Breaks When LLMs Code? Characterizing Operational Safety Failures of Agentic Code Assistantscited by 3
- 2026Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safetycited by 2
- 2026Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Developmentcited by 2
- 2026Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development10 Jul 2026
- 2026What Breaks When LLMs Code? Characterizing Operational Safety Failures of Agentic Code Assistants29 May 2026
- 2026Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety12 May 2026
- 2024A Survey on Failure Analysis and Fault Injection in AI Systems28 Jun 2024