Latest Articles for Quality Assurance

Advanced language models enhance automated testing of mobile apps, detecting crucial bugs.

Learn how CFDGs enhance software testing by clarifying decision paths.

Learn how reference models can streamline design and enhance quality.

CoDAT ensures code comments stay updated and relevant for developers.

A look at Iterated TDD for reliable software production.

FuzzTheREST improves fuzzy testing for RESTful APIs, finding vulnerabilities efficiently.

Learn how program verification ensures software reliability in critical industries.

A new method predicts bugs in software by analyzing past data.

Exploring the need for quality checks in AI-generated radiology reports.

A new method speeds up software testing by focusing on web page segments.

A new method for creating E2E tests using Large Language Models.

Learn how assertion messages improve software testing and troubleshooting.

Discover how TestART improves automated unit test generation.

AddressWatcher helps developers find and fix memory leaks in C and C++ programs.

Research shows gamification can boost developer engagement in software testing tasks.

This research focuses on improving the quality of hybrid quantum software through analysability.

A new system for generating and assessing unit tests efficiently.

Integrating large language models improves the clarity of automated unit tests.

Examining how code ownership impacts accountability and software quality.

Learn how to craft specifications for programs with complex behaviors.

This study investigates how testing strategies influence software delivery success.

Introducing ADIT: A new approach to enhance software testing efficiency through automated input transformation.

Examining the role of dependencies in measuring code naturalness.

New methods enhance bug detection in distributed systems using reinforcement learning techniques.

Learn why verifying software is crucial for reliability and user trust.

New methods improve unit test generation with large language models.

Study shows how combining models improves software testing accuracy.

Ensuring quality random numbers is vital for security in digital communications.

A new framework enhances PCB quality control through automated defect detection methods.

Study reveals how faulty code affects test case quality from LLMs.

Inconsistent code comments can lead to bugs and software issues.

Explore the causes and solutions for flaky tests disrupting software development.

CUSUM charts are crucial for monitoring process quality in various industries.

Exploring Differential GAI’s role in improving code quality for software projects.

Assessing the quality of AI-generated notes for improved medical documentation.

New methods focus on analyzing source code for better defect prediction.

This article assesses how well LLMs generate test cases for Java programs.

An overview of patient satisfaction measures in Bhutan's evolving healthcare services.

CRScore offers an innovative evaluation method for assessing code review comments without human references.

AssertLLM simplifies assertion generation for circuit verification, improving speed and quality.