mlsanityData to 14 Oct 2026

Chaos Engineering

arXiv 1702.05843 ↗First posted 20 Feb 2017cs.SEcited by 19

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Abstract (arXiv)

Modern software-based services are implemented as distributed systems with complex behavior and failure modes. Many large tech organizations are using experimentation to verify the reliability of such systems. We use the term "Chaos Engineering" to refer to this approach, and discuss the underlying principles and how to use it to run experiments.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Feb 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 5; 2026: 13.

19 papers.

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  1. 2026ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress Conditionscited by 36
  2. 2026A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governancecited by 8
  3. 2025Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineeringcited by 6
  4. 2025Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verificationcited by 4
  5. 2026Decoupled DiLoCo for Resilient Distributed Pre-trainingcited by 4
  6. 2026When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtimecited by 2
  7. 2026Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applicationscited by 2
  8. 2021Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Controlcited by 1
  9. 2025ADA: Automated Moving Target Defense for AI Workloads via Ephemeral Infrastructure-Native Rotation in Kubernetescited by 1
  10. 2025AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learningcited by 1
  11. 2026Binding Drift in Multi-Step Tool-Augmented Agentscited by 1
  12. 2026When Agentic Executions Fail: Detecting and Localizing Runtime Faults from Telemetrycited by 1
7 more
  1. 2025LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Costcited by 0
  2. 2026ICAN-Deploy: Identity-Stable Canary Deployment for Safety-Critical Embodied Agentscited by 0
  3. 2026Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AIcited by 0
  4. 2026Towards Risk-free AI Agent Deploymentcited by 0
  5. 2026Reality Is the Final Verifier: On Two Key Gaps in Agentic Software Engineeringcited by 0
  6. 2026Measurement Boundaries in LLM Financial Agent Evaluation: Fixed-Tape Execution and Multi-Defect Auditingcited by 0
  7. 2026When Messages Go Wrong: Understanding Communication Faults in LLM-Based Multi-Agent Systemscited by 0