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A critical review on the evaluation of automated program repair systems
Abstract Automated Program Repair (APR) has attracted significant attention from software
engineering research and practice communities in the last decade. Several teams have …
engineering research and practice communities in the last decade. Several teams have …
Tfix: Learning to fix coding errors with a text-to-text transformer
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 …
The key challenge for building an effective code fixing tool is to capture a wide range of …
TBar: Revisiting template-based automated program repair
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 …
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
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …
software systems. However, the manual detection of software vulnerabilities requires expert …
Fixminer: Mining relevant fix patterns for automated program repair
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 …
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
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 …
(APR). Notably, it has been demonstrated to produce more acceptable and correct patches …
Mining fix patterns for findbugs violations
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 …
software development community to help detect security vulnerabilities or bad programming …
Learning to represent edits
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 …
neural editor" with an" edit encoder", our models learn to represent the salient information of …
Template-based neural program repair
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 …
been widely studied and achieved promising results. However, there are still disadvantages …
Core: Resolving code quality issues using llms
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 …
reliability, maintainability and security of software. For this reason, static analysis tools are …