May 16, 2023 · We present in this paper a novel neural program repair framework called \approach, which adapts the general pre-trained language model for fixing single-line ...
May 19, 2023 · We make the first attempt to use program slicing to extract contextual information directly related to the given buggy statement as repair ...
This paper presents a novel neural program repair framework called \approach, which adapts the general pre-trained language model for fixing single-line ...
8 days ago · Plan and track work ... [2023/05] Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism Zhang et al.
Program analysis for learning repairs. Current learning- based repair approaches overlook the need to apply program analysis for extracting contextual ...
A systematic literature review on large language models for automated program repair. Author: Zhang, Quanjun and Fang, Chunrong and Xie, Yang and Ma, Yuxiang ...
Avoiding Overfitting in Automated Program Repair using Formal Methods · Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism.
7 days ago · Neural program repair with program dependence · analysis and effective filter mechanism. ArXiv, abs/2305.09315. Penghao Zhao, Hailin Zhang ...
Fig. 5. An example from BFP only repaired by REPEATNPR. Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism.
Further analysis also shows that Tare tends to generate more compilable patches than the existing DL-based APR approaches with the typing rule information.
Missing: Dependence | Show results with:Dependence