activity
20232026
most citedA Performance Study of LLM-Generated Code on Leetcode

78 citations · 80 across the 6 of their papers we have counts for

collaborators

8 papers

cs.SE2026

Profiling the Energy Consumption of Serverless Functions with Joule Profiler

Jérémy Woirhaye, François Gibier, Anderson Andrei Da Silva +3

Cloud providers and customers have widely adopted serverless computing as a convenient paradigm for deploying and executing functions on demand. To do so, serverless platforms requ…

cs.SE2026

Joule-Profiler: Profiling the Energy Consumption of Build Automation Tools Made Easy

Jérémy Woirhaye, François Gibier, Romain Rouvoy

Build pipelines are integral to modern software development, yet their energy footprint remains largely invisible to practitioners. Existing CI energy tools either rely on model-ba…

cs.SE2026

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations

Nada Zine, Tristan Coignion, Vincenzo Stoico +4

Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, which can efficiently…

cs.DB2026

DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning

Yifan Wang, Debabrota Basu, Pierre Bourhis +2

Database Management Systems (DBMS) are crucial for efficient data management and access control, but their administration remains challenging for Database Administrators (DBAs). Tu…

cs.SE2024

Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Tristan Coignion, Clément Quinton, Romain Rouvoy

In recent years,Large Language Models (LLMs) have significantly improved in generating high-quality code, enabling their integration into developers' Integrated Development Environ…

cs.SE2024★ 1 cited

Exploring Performance Trade-offs in JHipster

Edouard Guégain, Alexandre Bonvoisin, Clément Quinton +2

The performance of software systems remains a persistent concern in the field of software engineering. While traditional metrics like binary size and execution time have long been…

cs.SE2024★ 78 cited

A Performance Study of LLM-Generated Code on Leetcode

Tristan Coignion, Clément Quinton, Romain Rouvoy

This study evaluates the efficiency of code generation by Large Language Models (LLMs) and measures their performance against human-crafted solutions using a dataset from Leetcode.…

cs.CR2023★ 1 cited

UA-Radar: Exploring the Impact of User Agents on the Web

Jean Luc Intumwayase, Imane Fouad, Pierre Laperdrix +1

In the early days of the web, giving the same web page to different browsers could provide very different results. As the rendering engine behind each browser would differ, some el…