Does Graph Structure Earn Its Place in Microservice Root-Cause Analysis? A Controlled Study on RCAEval, and What the Benchmark Was Really Measuring
cs.SE, cs.LG
Submitted: 2026-09-22
Updated: 2026-09-22
Code: https://github.com/phamquiluan/RCAEval
Terminology
Sources
- Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?
- Graph-Free Root Cause Analysis
- Rethinking the Evaluation of Microservice RCA with a Fault Propagation-Aware Benchmark
- RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data
- CHASE: A Causal Hypergraph based Framework for Root Cause Analysis in Multimodal Microservice Systems
- LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
- Accounting for Variance in Machine Learning Benchmarks
- Deep Reinforcement Learning that Matters
- Deep Reinforcement Learning at the Edge of the Statistical Precipice
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