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Francesca Arcelli Fontana

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Open access Nov 2026

Refactoring architectural smells with large language models: an exploratory study on cyclic dependencies

Architectural smells, e.g., cyclic dependencies (CDs), are widespread in software systems and pose significant challenges to maintainability, reliability and scalability. While tools can automatically detect such smells, refactoring them remains a manual and time-consuming task that developers often postpone in favor o...

Gabriele Pandini, Arda Goknil, Karthik Shivashankar et al. · 0 citations
Open access Aug 2026

An Exploratory Study on Code Smells Detection and Refactoring using LLMs

This paper focuses on four common smells and considers five prompts of diverse complexity, asking the model for detecting and removing the identified code smells, and suggests that general-purpose LLMs cannot be reliably used for that.

Giorgia Paisi, Francesca Arcelli Fontana, Bartosz Walter · 0 citations

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