Systems | Development | Analytics | API | Testing

Xray Requirement Coverage explained: automating quality with Test Executions

Xray’s Requirement Coverage refers to how defined requirements inside a specific project are being validated by tests. Each requirement – whether Jira Story, Epic or Feature - should be connected to one or more test cases. When these tests are being executed and the results are being reported, the coverage status of the requirements automatically updates. Bottom line, only creating tests is not enough.

Harnessing AI to save time for Exploratory Testing

Exploratory Testing is one of the most valuable practices in software testing, especially when we want to discover issues that impact user experience. But at the same time, it is also one of the most demanding approaches in terms of time and focus. In a world where product development life cycles are becoming shorter and where QA teams need to ensure faster releases without compromising quality, a question arises: How can we gain time without sacrificing the depth of exploratory tests and their findings?

Why tracking QA metrics matters for your business

If you're working in software testing, you already know that measuring results is the daily concern. But the truth is that many teams end up focusing only on numbers when bugs get detected or when tests pass. But what if this is not the most strategic approach? The most successful teams are the ones that can connect QA metrics to business goals, showing that their software is not only stable, but also delivering real value to their users and its enterprise. In this article, you'll explore: Bottom line.

Transforming Jira Test Management with advanced JQL functions for faster QA insights

If you’re part of a software testing team using Jira, you know how crucial it is to keep track of all your tests, their statuses, and how they relate to requirements. But let’s be honest - sometimes getting real-time test insights in Jira isn’t always easy. That’s exactly why the latest update from Xray Cloud is a game changer for test management in Jira. This release introduces 29 new advanced JQL (Jira Query Language) functions designed specifically for testing.

Blending manual strategy with AI insights in test case design

When it comes to developing software, finding the right balance between efficiency and quality can be a challenge to any QA team. Test case design continues to be an essential stage to ensure that every requirement is validated considering compliance, and avoiding issues that can negatively impact users and businesses. Usually, creating efficient test cases demands technical and product knowledge, and practical experience in everyday project tasks.

What's the best Test Management Tool for Jira - Xray VS Zephyr

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 in exploratory testing: from hype to practice

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.