Towards Supporting Quality Architecture Evaluation with LLM Tools

2026-04-01T08:51:47Ze996d0e02ab02f81d9346d65d1364e5d66b543efc82ed256f0938f699dbd0fd8
APRFSMLLMsLeanLumosRAG-APRReLogSMTSemLocWybeCoderaged-care-digital-healtharchitecture-evaluationautomated-debuggingfault-localizationfinite-state-machinesformal-verificationloggingprogram-repairprovenancerepository-level-repairrequirements-engineeringruntime-instrumentationsoftware-architecturesoftware-verificationsustainable-software-engineering

What happened

This feed contains multiple software-engineering research papers exploring the application of LLMs, program analysis, and formal methods to improve development, debugging, testing, and verification. Key contributions include: using LLMs (MS Copilot, GPT-4) to assist architecture-quality evaluation and FSM synthesis; Lumos, a static-analysis-driven, low-overhead provenance framework for online distributed-system debugging; ReLog, an iterative LLM-guided logging generation pipeline optimized for downstream debugging/repair tasks; SemLoc, a structured semantic-grounding approach for LLM-aided,ver

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_se
Record identifier
e996d0e02ab02f81d9346d65d1364e5d66b543efc82ed256f0938f699dbd0fd8
Enrichment time
2026-04-01T08:51:47Z
AI-assisted enrichment
Yes

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