3 papers
cs.LG2026
Merge-Bench: Resolve Merge Conflicts with Large Language Models
Benedikt Schesch, Michael D. Ernst
This paper applies machine learning to the difficult and important task of version control merging. (1) We constructed a dataset, Merge-Bench, of 7938 real-world merge conflict hun…
cs.SE2024
Evaluation of Version Control Merge Tools
Benedikt Schesch, Ryan Featherman, Kenneth J. Yang +2
A version control system, such as Git, requires a way to integrate changes from different developers or branches. Given a merge scenario, a merge tool either outputs a clean integr…
cs.LG2024
Large Scale Constrained Clustering With Reinforcement Learning
Benedikt Schesch, Marco Caserta
Given a network, allocating resources at clusters level, rather than at each node, enhances efficiency in resource allocation and usage. In this paper, we study the problem of find…