Towards Supporting Quality Architecture Evaluation with LLM Tools
2026-04-01T08:51:47Z•e996d0e02ab02f81d9346d65d1364e5d66b543efc82ed256f0938f699dbd0fd8
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
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.