Flaky Test Recognition when Testing CPSs Using Hybrid Models

2026-08-10T08:51:39Ze31c5ad3d0dc3a3e4b4ab5cead60708a26d3be824016bf8a6d04e6760d0007b1
AI-generated-codeC-to-Rust-translationIoT-securityLLM-agentsagent-robustnessalgorithmic-biaschaos-engineeringcyber-physical-systemsdecompilationfault-injectionfirmware-analysisflaky-testingmemory-safetysoftware-engineeringsoftware-qualityvulnerability-detection

What happened

This collection contains recent software engineering and security-adjacent research, including flaky-test detection for cyber-physical systems, energy-aware refactoring, quality risks in AI-generated C++, programming-agent reliability, C-to-Rust macro translation, fault injection for LLM agents, planning and memory for autonomous issue resolution, bias in LLM-generated code, and decompilation-based IoT vulnerability detection. The material is primarily academic and does not describe a specific exploitable vulnerability or confirmed security incident.

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_se
Record identifier
e31c5ad3d0dc3a3e4b4ab5cead60708a26d3be824016bf8a6d04e6760d0007b1
Enrichment time
2026-08-10T08:51:39Z
AI-assisted enrichment
Yes

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