Energy Efficiency in Microservice Architectures: A Systematic Literature Review

2026-08-06T08:51:42Z07855084dbf98ab75c8521f47de46f3f0a2712d1727b8d811248f6b439465297
AI-for-securityLLM-securityPoV-generationSMT-solvingbusiness-process-securitycode-analysisembedded-securityfuzzingmodel-mergingneuro-symbolic-analysisproof-of-vulnerabilitysecure-software-engineeringsoftware-securitystatic-analysissymbolic-executionvulnerability-research

What happened

This collection contains recent software-engineering research, including a neuro-symbolic system for generating proofs of vulnerability, LLM-assisted vulnerability discovery in business-process documentation, and tools for model merging, code reuse detection, workflow automation, and code-summary evaluation. The most security-relevant work is POVGEN, which reportedly generated valid proofs for many disclosed CVEs, exposed flawed patches, and uncovered previously unreported vulnerabilities. These are research findings and tools rather than reports of a single active 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
07855084dbf98ab75c8521f47de46f3f0a2712d1727b8d811248f6b439465297
Enrichment time
2026-08-06T08:51:42Z
AI-assisted enrichment
Yes

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