activity
20232026
most citedRepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

21 citations · 70 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Latent Programming Horizons in Coding Agents

André Silva, Han Tu, Martin Monperrus

A coding agent solving a software-engineering task spends dozens of steps reasoning, editing code, and running tests, yet little is known about what the underlying language model i…

cs.LG2026

On Randomness in Agentic Evals

Bjarni Haukur Bjarnason, André Silva, Martin Monperrus

Agentic systems are evaluated on benchmarks where agents interact with environments to solve tasks. Most papers report a pass@1 score computed from a single run per task, assuming…

cs.PL2025

Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces

André Silva, Gustav Thorén, Martin Monperrus

Automatic program repair seeks to generate correct code from buggy programs, with most approaches searching the correct program in a discrete, symbolic space of source code tokens.…

cs.SE2024★ 7 cited

RepairBench: Leaderboard of Frontier Models for Program Repair

André Silva, Martin Monperrus

AI-driven program repair uses AI models to repair buggy software by producing patches. Rapid advancements in AI surely impact state-of-the-art performance of program repair. Yet, g…

cs.SE2024★ 15 cited

GitBug-Java: A Reproducible Benchmark of Recent Java Bugs

André Silva, Nuno Saavedra, Martin Monperrus

Bug-fix benchmarks are essential for evaluating methodologies in automatic program repair (APR) and fault localization (FL). However, existing benchmarks, exemplified by Defects4J,…

cs.SE2024★ 17 cited

Generative AI to Generate Test Data Generators

Benoit Baudry, Khashayar Etemadi, Sen Fang +7

Generating fake data is an essential dimension of modern software testing, as demonstrated by the number and significance of data faking libraries. Yet, developers of faking librar…

cs.SE2023★ 21 cited

RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

André Silva, Sen Fang, Martin Monperrus

Automated Program Repair (APR) has evolved significantly with the advent of Large Language Models (LLMs). Fine-tuning LLMs for program repair is a recent avenue of research, with m…

cs.SE2023★ 10 cited

GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions

Nuno Saavedra, André Silva, Martin Monperrus

Bug-fix benchmarks are fundamental in advancing various sub-fields of software engineering such as automatic program repair (APR) and fault localization (FL). A good benchmark must…