Systems | Development | Analytics | API | Testing

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

Closing AI-generated test gaps with qTest & SeaLights

In today’s fast‑moving software world, release velocity keeps climbing, and AI is accelerating it even further. To keep quality teams aligned with rapid change, we’ve brought together two powerful capabilities: Tricentis SeaLights’ deep code-level insights and Tricentis qTest’s intelligent test management and AI-generated test creation. Here’s how these technologies integrate to create a complete, AI-driven testing feedback loop.

Best Flaky Test Detection Services and Agencies in 2026

Your CI pipeline failed again. You check the logs. Nothing changed. You run it again. It passes. That right there is the silent killer of engineering teams. Flaky tests. And most companies are bleeding money because of them without even realizing it. I've spent years doing QA consulting. I've sat in rooms where engineers argued for 45 minutes about whether a failure was real or not. I've watched teams lose entire sprints chasing phantoms. And the pattern is always the same.

Security Testing Explained: Protecting Modern Applications And Apis

Security testing helps identify weaknesses in software before attackers can exploit them. It protects sensitive data, ensures system stability, and controls user access. With web, mobile, and API-based applications growing rapidly, security threats are increasing. Security testing helps teams detect risks early, prevent breaches, and meet compliance standards.

The next evolution in QA: How AI is changing software testing

Shipping high-quality software quickly is challenging. QA professionals are facing pressure to test more, faster in a world where GenAI is pushing delivery – all while trying to cut costs. For years, manual testing and traditional automation tools like Selenium have been the standard. But both come with challenges. Manual testing alone can be slow and prone to errors, while Selenium and similar tools require coding expertise, need constant script maintenance, and are easily broken by UI changes.

How to create a test cycle | Zephyr

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Organizing your testing into Test Cycles is the best way to align your QA efforts with specific sprints, releases, and versions, ensuring your team stays focused and on schedule. This short demo video guides you through the process of setting up and populating your Test Cycles. You’ll learn how to define execution windows, link cycles to specific release versions, and pull in test cases from across different Jira projects to create a unified testing effort.

Tracking testing progress with reports | Zephyr

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Its reporting and dashboard capabilities provide real-time visibility into your quality metrics, so you always know the status of your release. This short demo video shows you how to navigate the Zephyr Reports tab and build customized Jira Dashboards. Whether it’s via high-level execution summaries or deep-dive traceability reports, you can track coverage and identify testing bottlenecks instantly.

Top 23 Test Automation Frameworks in 2026

There was a time when software teams shipped code hoping nothing would break, relying on slow manual testing and last-minute sanity checks. Those teams that failed to adapt were quickly left behind as release cycles shortened and user expectations skyrocketed. Today’s high-performing engineering teams use a top automation testing framework to deliver rapid feedback, reliable regression coverage, and continuous validation at scale.

Software Testing Strategies: A Complete Practical Guide (2026)

Software testing strategies define how I plan, structure, and execute quality checks across the entire software development lifecycle to maintain reliable software outcomes. With teams shipping faster through Agile, DevOps, APIs, and CI/CD pipelines, relying only on ad-hoc or manual workflows no longer works. I’ve seen structured strategies supported by the right tools become essential for controlling risk while still moving fast. Let’s explore how this works in real software teams.