Latest Articles for Software Development

This study proposes new syntactic sugars based on real coding patterns in Java.

A look at how tokenization impacts language model efficiency.

This study examines the difficulties in identifying bugs in deep learning systems.

A new framework for understanding cost in probabilistic functional programming.

A new graph structure enhances compiler efficiency in parallel programming.

A new dataset reveals insights into the use of pre-trained models in software projects.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Explore the key obstacles agile teams face in data management and effective solutions.

New approach enhances LLMs by integrating executable Python code for better action handling.

A new framework enhances efficiency in high-energy physics experiments.

Exploring the integration of LLMs in high-performance computing tasks.

A new method improves code understanding through extensive data and training techniques.

Exploring how accountability shapes software engineering practices and team dynamics.

A new method reduces false positives in static analysis tools using fuzz testing.

Introducing AgentHPO, a framework that automates hyperparameter tuning using Large Language Models.

A new system enhances commit message generation by focusing on code context.

A new approach to measure responsibility in AI models using game theory.

An exploration of the challenges and strategies for improving software security.

A new method to boost performance in scientific computing using ytopt.

A new approach improves code review efficiency and quality through deep learning.

Evaluating model calibration to improve code quality and developer trust.

This paper assesses the efficiency of generated code from various models.

A dataset to enhance the accuracy of unit test generation using large language models.

Research highlights the importance of user-focused software design in fixing defects.

Discover how Object Graph Programming simplifies data handling in software development.

Introducing a tool to create customized issue report templates for software developers.

ARGO improves GNN training speed and efficiency on multi-core systems.

A new framework enhances LLMs' decision-making by leveraging past experiences.

Matcha helps developers create accurate privacy labels for mobile apps.

A new tool aims to simplify the conversion of Redex models to Coq.

VDMS upgrades streamline visual data processing for efficient query handling.

This article explains the basics of program semantics and its key concepts.

JUNO employs new software tools to streamline neutrino research and data analysis.

A workshop aims to improve software citation practices in high-energy physics research.

A new method improves regression testing efficiency using historical data.

This article discusses the role of bounded nondeterminism in program behavior management.

Assessing how well language models support coding tasks from a user perspective.

This study examines how developers explain code changes in the Linux kernel.

A new system allows data scientists to train robots without complex software.

This study assesses AutoML performance in recommendation tasks for newcomers.