Techkon USA and Sun Chemical North America launch Quality Software ‘SunQ’ for Manufacturing Batch Testing

Innovative software integrates seamlessly with SAP, providing a user-friendly interface that combines color and ...

InstantGMP Named #1 for EBR Integration in LIMS and MES Supporting Paperless Manufacturing

InstantGMP Named #1 for EBR, LIMS & MES Integration Being recognized by Root Analysis as the number one provider of ...

Enterprises achieve 50% faster testing cycles with AI-driven autonomous quality assurance

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
InfoWorld

Visual Studio adds GitHub Copilot unit testing for C#

GitHub Copilot testing for .NET in Visual Studio 2026 v18.3 can generate tests for the xUnit, NUnit, and MSTest test frameworks.

Why AI-Accelerated Development Challenges Traditional Security Testing

He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...
Inc42

How TestMu Is Fixing Software Testing Bottlenecks In The AI Coding Boom

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

TASKING Celebrates 1-year Anniversary of LDRA Acquisition with Launch of Complete End-to-End "Compile, Debug, Test" Toolchain for Safety- and Security-Critical Systems

The TASKING toolchain seamlessly unlocks the full potential of the combined tools, enabling CI/CD-capable certified workflows with AI to optimize development from requirements to compliance while ...
IEEE

Adaptive Random Testing of Deep Learning Systems Using Image Hashing

Abstract: In recent years, deep learning (DL) systems have been applied in many areas, including image processing and autonomous driving. Software testing is an important way to ensure the quality of ...
IEEE

The Future of Software Testing Automation: Innovations, Challenges, and Emerging Alternatives

Abstract: Software testing automation is seeing fast evolution, propelled by innovative developments in artificial intelligence (AI), machine learning (ML), and cloud computing technologies. These ...