6 citations · 7 across the 7 of their papers we have counts for
8 papers
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…
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…
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…
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…
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,…
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…
PolyDebug: A Framework for Polyglot Debugging
Philémon Houdaille, Djamel Eddine Khelladi, Benoit Combemale +2
As software grows increasingly complex, the quantity and diversity of concerns to be addressed also rises. To answer this diversity of concerns, developers may end up using multipl…
Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Jean-Baptiste Döderlein, Nguessan Hermann Kouadio, Mathieu Acher +2
Language models are promising solutions for tackling increasing complex problems. In software engineering, they recently gained attention in code assistants, which generate program…