Latest Articles for Quality Assurance

Explore efficient methods for verifying complex software using ranged program analysis.

Explore the significance of performance requirements and testing in software projects.

FlaKat offers a machine learning solution to identify and categorize flaky tests.

A new framework simplifies testing JIT compilers by generating automated test cases.

Exploring the impact of LLMs on software development practices.

New approaches to enhance clarity and reduce issues in software requirements.

The ROBUST dataset helps researchers address software issues in robotics.

Study reveals how code modifications influence software quality metrics.

A study on the sharing, maintenance, and quality of software research artifacts.

This study assesses large language models for generating text inputs in mobile applications.

This study examines equivalent mutants and their impact on software testing.

Using LLMs to enhance mutation testing effectiveness and software quality.

This work presents a strategy for agents to independently diagnose and resolve issues.

This article presents a method for generating test scenarios from natural language requirements.

A look at mutation testing and its role in improving software quality.

A new method enhances software testing by focusing on real interactions and environments.

Learn the importance of validating distributed program traces against specifications.

A new system combines retrieval and classification to reduce duplicate bug reports.

The AIS 2024 Challenge seeks to improve video quality assessments using deep learning.

Explore transformations to enhance natural language test quality.

New metrics aim to improve code security and correctness with LLMs.

Examining how small changes improve software quality and maintenance.

Learn how predictive monitoring helps find bugs early in software development.

A detailed look into current medical imaging software practices and areas for improvement.

This framework automates the generation of tests to improve exception handling in software.

Learn how machine learning concepts help define testing boundaries for software.

Improving access to research artifacts boosts software requirements quality efforts.

Explore strategies for ensuring software quality in open collaborative development environments.

An overview of metamorphic testing and its role in software quality.

This paper introduces a method to ensure quality in LLM-generated code.

This research focuses on how TDD quality is measured and reported.

A new approach enhances testing reliability for deep learning libraries.

Large language models improve differential testing in software development.

A new approach to pay for AI-generated text based on quality.

FeaTestSelPrio enhances testing efficiency in highly configurable software systems.

This study examines how interval analysis improves the effectiveness of Bounded Model Checking.

Study uncovers how static analysis warnings relate to architectural design flaws.

A new framework enhances FMEA data analysis and retrieval.

A novel method uses 3D models to enhance anomaly detection in manufacturing.

This study assesses the effectiveness of LLMs in creating unit tests.