[2603.23482] ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains

[2603.23482] ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.23482: ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains

Computer Science > Software Engineering arXiv:2603.23482 (cs) [Submitted on 24 Mar 2026] Title:ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains Authors:Muhammad Khalid, Manuel Oriol, Yilmaz Uygun View a PDF of the paper titled ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains, by Muhammad Khalid and 2 other authors View PDF HTML (experimental) Abstract:Requirements engineering is a vital, yet labor-intensive, stage in the software development process. This article introduces ReqFusion: an AI-enhanced system that automates the extraction, classification, and analysis of software requirements utilizing multiple Large Language Model (LLM) providers. The architecture of ReqFusion integrates OpenAI GPT, Anthropic Claude, and Groq models to extract functional and non-functional requirements from various documentation formats (PDF, DOCX, and PPTX) in academic, industrial, and tender proposal contexts. The system uses a domain-independent extraction method and generates requirements following the Project, Environment, Goal, and System (PEGS) approach introduced by Bertrand Meyer. The main idea is that, because the PEGS format is detailed, LLMs have more information and cues about the requirements, producing better results than a simple generic request. An ablation study confirms this hypothesis: PEGS-guided prompting achieves an F1 score of 0.88, compared to 0.71 for generic prompting under the same m...

Originally published on March 25, 2026. Curated by AI News.

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