A recent SD Times Live! Supercast shed light on practical solutions to stabilize the testing environment for dynamic AI applications.
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Agentic artificial intelligence is the new belle of the software ball. C-level executives want their companies to use AI agents to move faster, therefore driving vendors to deliver AI agent-driven ...
AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.
Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...
Asad Khan, CEO and Co-Founder of TestMu AI, said, "Real-device testing is essential when preparing for a new OS release. By ...
After months of real-world testing of AI copilots, chat interfaces, and AI-generated apps, Terra Security releases a new module for continuous AI Penetration Testing to match AI development velocity ...
From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...
Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...
The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.
TestMu AI (Formerly LambdaTest), the world's first full-stack Agentic AI Quality Engineering platform, today announced the availability of Android 17 Beta for testing on real devices through its ...
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