activity
20242026
most citedExploring Performance Trade-offs in JHipster

1 citations · 2 across the 9 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Externalized CPDAG Summaries Improve LLM Causal Deduction

Wentao Sun, João Paulo Nogueira, Dominique Verchere +2

Corr2Cause asks whether a causal claim holds in every DAG compatible with observed correlations and conditional independencies. We frame this as latent-object reasoning: the label…

cs.SE2026

Spec2COBOLRot: An Agentic-AI Degradation Loop for Realistic COBOL Corpus Generation

Jean-Baptiste Espinasse, Djamel Eddine Khelladi, Mathieu Acher

COBOL remains widely deployed, yet representative corpora reflecting real production code are rarely available, limiting rigorous benchmarking of modernization approaches. We propo…

cs.SE2026

Code Transformation Rule Synthesis using LLMs: Potential and Limits

Axel Allain, Aymeric Blot, Djamel Eddine Khelladi +1

Due to their black-box nature, LLMs suffer from limited explain- ability and a lack of determinism. Their usage cost can also rise, particularly with repetitive tasks on large code…

cs.SE2026

Do programming languages still matter to your AI coding agent teammate? Evidence at scale from chess engines

Mathieu Acher, Jean-Marc Jézéquel

Frontier coding agents now promise end-to-end authorship of complete software systems. Two empirical questions follow: can AI coding-agent teammates program in any target language,…

cs.SE2026

Imperfect Visual Verification for Code Edition : A Case Study on TikZ

Charly Reux, Mathieu Acher, Djamel Eddine Khelladi +2

LLMs have significantly advanced code generation, enabling the synthesis of functional programs. While recent systems achieve strong performance on many coding benchmarks, tasks in…

cs.SE2026

Small Yet Configurable: Unveiling Null Variability in Software

Xhevahire Tërnava, Georges Aaron Randrianaina, Luc Lesoil +1

Many small-scale software systems, that is, with limited codebase or binary size, are widely used in everyday tasks, yet their configurability remains largely unexplored. At the sa…

cs.SE2026

SpaceTime Programming: Live and Omniscient Exploration of Code and Execution

Jean-Baptiste Döderlein, Djamel Eddine Khelladi, Mathieu Acher +1

Programming environments typically separate the world of static code from the dynamic execution of programs. Developers must switch between writing code and observing its execution…

cs.SE2025

LLM Code Customization with Visual Results: A Benchmark on TikZ

Charly Reux, Mathieu Acher, Djamel Eddine Khelladi +2

With the rise of AI-based code generation, customizing existing code out of natural language instructions to modify visual results -such as figures or images -has become possible,…

cs.SE2025

Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution Analysis

Heraldo Borges, Juliana Alves Pereira, Djamel Eddine Khelladi +1

Configuring the Linux kernel to meet specific requirements, such as binary size, is highly challenging due to its immense complexity-with over 15,000 interdependent options evolvin…

cs.SE2025★ 1 cited

Unify and Triumph: Polyglot, Diverse, and Self-Consistent Generation of Unit Tests with LLMs

Djamel Eddine Khelladi, Charly Reux, Mathieu Acher

Large language model (LLM)-based test generation has gained attention in software engineering, yet most studies evaluate LLMs' ability to generate unit tests in a single attempt fo…

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…