Agent4RE: A Self-Refining Multi-agent Framework for End-to-End Software Requirements Engineering and Benchmarking
41st IEEE/ACM International Conference on Automated Software Engineering (ASE-POVC 2026)
I am a Ph.D. researcher affiliated with Siemens AG and the Technical University of Munich.
My work explores how LLMs, intelligent agents can support complex software development.
The research focus is moving beyond single language models to self-evolving agents for industrial software.
Our paper Agent4RE: A Self-Refining Multi-agent Framework for End-to-End Software Requirements Engineering and Benchmarking was published in POVC 2026 (ASE Workshops).
Our paper Agent4CS: A Multi-Agent System for Code Summarization in Large Hierarchical Codebases was accepted to EUMAS 2026.
Our survey paper LLM-Based Agentic Systems for Software Engineering was accepted to SE 2026 GenSE Workshops.
Our paper The Few-shot Dilemma: Over-prompting Large Language Models was accepted to FLLM 2025.
Our paper FsPONER: Few-Shot Prompt Optimization for Named Entity Recognition in Domain-Specific Scenarios was accepted to ECAI 2024.
41st IEEE/ACM International Conference on Automated Software Engineering (ASE-POVC 2026)
23rd European Conference on Multi-Agent Systems (EUMAS) · pp. 418–436
Software Engineering 2026 GenSE Workshops
3rd International Conference on Foundation and Large Language Models (FLLM) · pp. 134–141
27th European Conference on Artificial Intelligence (ECAI) · pp. 3757–3764
Issued by Technical University of Munich for excellent academic performance.
Issued by Technical University of Munich for excellent academic performance.