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Julian Frattini

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#software testing Preprint Sep 2026

On the Impact of Requirement Smells in LLM-Based Code Generation

The results suggest that increasing \textit{smell density} was generally associated with lower test-suite-based functional correctness, although non-smelly requirements could still produce faulty code, and motivates further investigation into task-dependent quality effects in LLM-assisted software engineering.

Hugo Villamizar, Jannik Fischbach, Mert Şahin et al. · 0 citations
Preprint Aug 2026

Human-AI Collaboration in Requirements Engineering: Evidence of the Negative Effect of LLMs on Requirements Inspection

The findings provide empirical evidence that LLM support does not necessarily improve performance and may, instead, hinder it for novice inspectors, and suggest that learning RI with LLM-support from the beginning may slow down the skill acquisition process.

Giovanna Broccia, Julian Frattini, Chetan Arora et al. · 0 citations
Conference Open access Jul 2026

Information is All You Need: Requirements Engineering Quality Reframed

A novel holistic theory of requirements engineering (RE) quality is proposed that can serve as a coherent theoretical framework for understanding the success or failure of RE processes and artifacts, and it is envisioned that the theory can serve as a coherent theoretical framework for understanding the success or fail...

Henning Femmer, Julian Frattini · 0 citations

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