3 citations · 4 across the 3 of their papers we have counts for
6 papers
Does AI-Assisted Development Homogenize Software? An Empirical Study of Code Similarity, Quality, and Evolution
Luciano Marchezan, Romain Lefeuvre, Kevin Delcourt +2
AI-assisted software development is evolving from interactive LLM assistance toward agentic systems that autonomously perform software engineering tasks, yet the effects of this sh…
A Benchmark Framework for Screening Automation in Systematic Reviews
Gauransh Kumar, Luciano Marchezan, Guillaume Genois +2
Systematic reviews (SR) are essential for evidence-based research, but their screening phase is highly time-consuming and labor-intensive. Large language models (LLMs) offer a prom…
Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1
Software clones are fragments of code that are similar or functionally equivalent to each other. They pose significant challenges for maintenance, refactoring, and bug detection. D…
Breaking Models to Test the Judge: A Mutation Testing Approach for Semantic Evaluators of Domain Class Diagrams
Kevin Delcourt, Meriem Ben Chaaben, Abdelhamid Rouatbi +2
In software engineering, many semantic modeling tasks lack a unique ground truth, as human judgments are both costly and subjective. This paper explores mutation testing as a scala…
Model-based Maintenance and Evolution with GenAI: A Look into the Future
Luciano Marchezan, Wesley K. G. Assunção, Edvin Herac +1
Model-Based Engineering (MBE) has streamlined software development by focusing on abstraction and automation. The adoption of MBE in Maintenance and Evolution (MBM&E), however, is…
Contemporary Software Modernization: Perspectives and Challenges to Deal with Legacy Systems
Wesley K. G. Assunção, Luciano Marchezan, Alexander Egyed +1
Software modernization is an inherent activity of software engineering, as technology advances and systems inevitably become outdated. The term "software modernization" emerged as…