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The latest News and Information on Software Testing and related technologies.

The Cost of Doing Nothing: Quantifying the Impact of "Incomplete DevOps"

As AI becomes embedded in software delivery, the gap between mature DevOps organizations and those with “Incomplete DevOps” is becoming impossible to ignore, according to Perforce's 2026 State of DevOps report. Characterized by inconsistent workflows, manual processes, and inadequate standardization, "incomplete DevOps" has emerged as the leading obstacle to achieving ROI from AI investments. DevOps maturity is no longer an operational concern. It is an economic one.

What is Perforce P4 (Helix Core)?

What is Perforce P4 (formerly Helix Core)? And why is P4 considered the industry standard version control system? In this overview, our Sr. P4 User Advocate, Jase Lindgren breaks down what P4 is, how it works, and why it’s trusted for massive projects—from AAA games to blockbuster films to advanced hardware development.

Cloud-Native Performance Engineering: Tools and Strategies for AWS, Azure and GCP

There’s a moment every cloud team eventually faces. Dashboards look green. CPU is stable. Memory isn’t spiking. Auto-scaling is configured. And yet, users say the system feels slow. Welcome to cloud-native performance engineering. After working across environments hosted on Amazon Web Services, Microsoft Azure and Google Cloud Platform, I’ve realised something important: Cloud doesn’t eliminate performance problems. It simply changes their shape.

Perfecto: Automate End-to-End RCS Validation

Perfecto enables automated, AI-powered end-to-end RCS, SMS, and MMS validation on real cellular networks, ensuring every message is delivered, rendered, and experienced precisely as your customers expect. Learn more in this in-depth demo. With Perfecto, you can: This capability is crucial for validating retail promotions, healthcare reminders, airline status updates, conversational business flows, and more.

Types Of Software Testing: A Comprehensive Guide (2026)

The types of software testing define how modern systems maintain stability, performance, and security in fast release cycles. In 2026, software is API-driven and continuously deployed, so testing is no longer a final step – it is embedded across the development lifecycle. Each testing type addresses specific risks and helps teams build a strong foundation of software testing instead of relying on random test cases. Let’s explore how these testing types work in practice.

Al boosts developer speed, so why does it slow testers down?

AI slows testers down when it’s added without a tester-first experience. Testers naturally question coverage and intent, so Katalon designs AI around real testing workflows to boost productivity instead of creating friction. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

Reflect vision-based AI demo | Create one test for multiple platforms

Create a single mobile test that runs reliably on both iOS and Android - without building separate tests per platform or relying on brittle, platform-specific locators. In this high-level demo, we use SmartBear Reflect’s vision-based AI to record a typical workflow in a sample coffee app, where each step is backed by visual context and intent. Then we run the same test across a mix of Apple and Android devices, including an iPhone, to show how Reflect adapts to the environment at runtime and helps reduce flakiness and false positives.

Top Test Automation Best Practices Every Team Should Follow

Test automation has become an essential part of modern software development. In 2026, shipping fast without reliable test automation is almost impossible. Done right, it ensures consistent quality, faster feedback, and fewer production incidents. This guide covers practical test automation best practices used by real engineering teams to deliver measurable results.