Systems | Development | Analytics | API | Testing

Choosing the right test management tool is never simple, as it involves much more than creating test cases or organizing your tests into executions. We’re talking about a tool that will support the entire QA process, from connecting to your requirements to defect processing to reporting and everything in between. The two tools usually evaluated for test management within Jira are Xray and Zephyr.

AI is more than just a buzzword now - it's becoming an integral part of various processes, including software testing. But how effective is it really, especially when applied to the dynamic nature of Exploratory Testing? In this webinar, Sérgio Freire stated that he recently experimented with leveraging AI in his own Exploratory Testing sessions and discovered both promising applications and significant limitations.

At Xray, powered by Sembi, we believe the next era of software quality will be shaped by intelligence, not just automation. Today, we're proud to introduce Sembi IQ, Sembi’s new AI platform built to help QA, development, and security teams deliver better software, faster. Sembi IQ is designed to work across the entire Sembi portfolio, including Xray, infusing intelligence into the tools teams rely on daily. This isn’t just an add-on or a buzzword-driven initiative.

Testing has always been a time-consuming process (and often isolated from the development cycle). As applications became more complex and user expectations leveled up, the need for a more structured and scalable approach to test management emerged. Test management has evolved significantly, moving from static spreadsheets toward integrated platforms that support automation, traceability, collaboration, and real-time insights.

Test case design constantly adopts new languages, architectures, and methodologies. But in the last few years, the pressure to scale while ensuring quality in a smart way, without overly increasing efforts, has changed the narrative. AI has entered the scene, promising to systematize decisions, reduce redundancy, and even create tests from scratch. Some teams have already experimented with AI, while others observe with skepticism.

When the testing volume increases without effective control, maintenance is more time-consuming, feedback is slower, and risks are bigger, especially in environments where continuous integration and release cycles are accelerated. In this article, you’ll explore smart automation strategies that can help you reduce test duplication and improve QA team efficiency.

Audits are demanding, recurring, and often time-consuming processes, especially for QA teams and developers. But it doesn’t need to be like that. When testing processes are well-structured from the start, with clear traceability between requirements, tests, executions, and results, being prepared for an audit is no longer a race against time. In this blog we'll cover all the useful features you can leverage from Xray Enterprise to aid you and your team in staying audit-ready.

With an increasingly competitive market, ensuring software quality is essential for your business’s success. QA governance and strategy are crucial to ensure that processes are efficient, consistent, and aligned with business objectives. Managing these factors can be challenging, especially when teams deal with multiple tools, a lack of visibility about test progress, and maintaining compliance.

In 2025, QA teams are experiencing real change. Product delivery cycles are becoming shorter, Agile is maturing, and there’s increasing pressure to launch new software quicker and without flaws. There’s also evident talk surrounding AI as the biggest factor for change, and its impact is also increasing. But the truth is AI is just one factor in this story. Other trends - like continuous automation, DevOps integration, and the role of QA - are redefining the way we test and ensure quality.

Regression testing is a software testing practice that ensures recent code changes do not negatively impact the existing functionality of an application. It involves re-running previously executed test cases to verify that new updates - such as bug fixes, enhancements, or feature additions - do not introduce defects into previously working software components. The primary goal of regression testing is to maintain software stability while allowing continuous improvements.