Latest Articles for Code Quality

Using language models to improve automated program repair efficiency and accuracy.

This tool improves the conversion of code to Rust, focusing on safety and readability.

A new approach to enhance code clone detection across software projects.

Exploring how Large Language Models are transforming software bug fixing.

This study examines the role of LLMs in creating effective test oracles for software.

This study assesses how well LLMs can identify and classify technical debt.

A study on the performance of five JavaScript static analysis tools.

Investigating large language models’ effectiveness in translating real-world code into Rust.

Automated tools improve code quality and streamline the review process.

This article highlights the importance of updating code comments for clarity.

Enhancing LLMs' ability to refine their code through self-debugging techniques.

Examining the impact of deprecated APIs on LLM code suggestions.

Addressing the safety concerns of code produced by large language models.

This study discusses using machine learning to improve type inference in programming languages.

This research focuses on using LLM-based agents for better software maintenance.

This study assesses how well GPT-3.5 and GPT-4 detect code clones.

A method for ensuring software correctness through structured analysis.

This study examines developer motivations and metrics for effective code refactoring.

A new framework assesses difficulty in coding tasks for large language models.

C3 enhances the clarity of automated test inputs for better code understanding.

Static code analysis helps developers find issues early in software development.

A study on using LLMs for identifying code clones in different languages.

Learn how static analysis improves software quality and catches errors early.

This article examines issues of code hallucination in LLMs and their implications.

Learn effective ways to document technical debt for better software quality.

CodeSift reviews generated code for correctness without running it, enhancing validation speed.

PoTo enhances static analysis for Python, improving code quality and type inference.

A new framework combines code search, generation, and repair for efficient programming.

This study highlights the risks posed by code clones and their management.

GPT-O1 model shows improved bug fixing capabilities compared to earlier versions.

A new method enhances automated code review comments using reviewer experience.

A new system enhances code translation accuracy and efficiency using specialized agents.

This article discusses the understandability of decompiled Java code and its importance.

Learn how refactoring can improve software structure and manage risks involved.

Learn how code refactoring reduces data contamination in software development.

Exploring the impact of technical debt on software projects and maintenance.

Learn how GOOD simplifies programming and enhances software quality.

Learn how to spot and fix security code smells in JavaScript.

A new approach to code verification that blends powerful techniques.

Learn how automatic program verification ensures code correctness and prevents issues.