A critical review on the evaluation of automated program repair systems

K Liu, L Li, A Koyuncu, D Kim, Z Liu, J Klein… - Journal of Systems and …, 2021 - Elsevier
Abstract Automated Program Repair (APR) has attracted significant attention from software
engineering research and practice communities in the last decade. Several teams have …

Tfix: Learning to fix coding errors with a text-to-text transformer

B Berabi, J He, V Raychev… - … Conference on Machine …, 2021 - proceedings.mlr.press
The problem of fixing errors in programs has attracted substantial interest over the years.
The key challenge for building an effective code fixing tool is to capture a wide range of …

TBar: Revisiting template-based automated program repair

K Liu, A Koyuncu, D Kim, TF Bissyandé - Proceedings of the 28th ACM …, 2019 - dl.acm.org
We revisit the performance of template-based APR to build comprehensive knowledge
about the effectiveness of fix patterns, and to highlight the importance of complementary …

VUDENC: vulnerability detection with deep learning on a natural codebase for Python

L Wartschinski, Y Noller, T Vogel, T Kehrer… - Information and …, 2022 - Elsevier
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …

Fixminer: Mining relevant fix patterns for automated program repair

A Koyuncu, K Liu, TF Bissyandé, D Kim, J Klein… - Empirical Software …, 2020 - Springer
Patching is a common activity in software development. It is generally performed on a source
code base to address bugs or add new functionalities. In this context, given the recurrence of …

Avatar: Fixing semantic bugs with fix patterns of static analysis violations

K Liu, A Koyuncu, D Kim… - 2019 IEEE 26th …, 2019 - ieeexplore.ieee.org
Fix pattern-based patch generation is a promising direction in Automated Program Repair
(APR). Notably, it has been demonstrated to produce more acceptable and correct patches …

Mining fix patterns for findbugs violations

K Liu, D Kim, TF Bissyandé, S Yoo… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Several static analysis tools, such as Splint or FindBugs, have been proposed to the
software development community to help detect security vulnerabilities or bad programming …

Learning to represent edits

P Yin, G Neubig, M Allamanis, M Brockschmidt… - arxiv preprint arxiv …, 2018 - arxiv.org
We introduce the problem of learning distributed representations of edits. By combining a"
neural editor" with an" edit encoder", our models learn to represent the salient information of …

Template-based neural program repair

X Meng, X Wang, H Zhang, H Sun… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
In recent years, template-based and NMT-based automated program repair methods have
been widely studied and achieved promising results. However, there are still disadvantages …

Core: Resolving code quality issues using llms

N Wadhwa, J Pradhan, A Sonwane, SP Sahu… - Proceedings of the …, 2024 - dl.acm.org
As software projects progress, quality of code assumes paramount importance as it affects
reliability, maintainability and security of software. For this reason, static analysis tools are …