qTest Launch: Test Automation Management
With centralized machine management, scheduling and reporting, qTest Launch makes open source testing more productive.
Catch the latest product and industry updates through our webinars, guides, white papers, and more.
With centralized machine management, scheduling and reporting, qTest Launch makes open source testing more productive.
Tricentis Data Integrity is a one-of-a-kind data testing tool that’s end-to-end, automated, and integrated into your existing ecosystem. Read this data sheet to learn why.
qTest Explorer is a rich documentation tool that simplifies scripted and unscripted testing by intelligently capturing each mouse click, field change, page change and more.
qTest Scenario enables a test-first approach by facilitating BDD test scenario creation and ensuring feature traceability.
qTest is a robust and easy-to-use agile test management solution that integrates with Jira in real time, so you can deliver higher quality software at an agile pace.
Now that every company strives to be a data-driven company, data quality is more critical than ever. Testing data warehouse implementations has become an imperative for instilling trust in the data that the business relies upon.
Learn about QA’s role in the company’s digital transformation journey.
Learn about Duke Energy’s DevOps and Agile transformation journey.
Reducing the risks associated with modern enterprise applications requires advanced test automation for the complete end-to-end business process, which may span multiple application components. Learn how to automate the testing of business processes that may include mobile UIs, web services, SAP, ESBs, APIs, web UIs, mainframes, and even big data.
A leveled approach for maturing your behavior-driven development practice
Learn how agile testing principles align stakeholders to improve software quality and support regulatory compliance
Developers have already recognized that today’s “low-code/no-code” approaches are an efficient way to satisfy the relentless demand for more software, faster. Now that the testing tools market has matured beyond the heavyweight script-based platforms developed decades ago, we have the opportunity to transform testing for modern delivery with the same low-code/no-code approach that’s significantly streamlining software development.
Too often, developers and testers are pitted against one another. Here’s how to avoid finger-pointing and establish mutual trust.
Why “it comes as part of the package” is not a good reason to use legacy tools to manage testing and quality.
By proactively aligning QA results and reporting with larger business strategies, QA management can effectively communicate upwards
Prioritizing quality is a cornerstone of good business strategy. These tips will help you communicate the business value of testing to executives.
To deliver higher quality software amid shrinking release cycles, many enterprises are turning to a strategic quality platform to give them an edge. The right QA platform can help you glean insights that will both increase quality and reduce time to market.
It’s time to challenge the testing status quo. Learn why a strategic focus on testing is critical.
As today’s enterprise IT landscape evolves faster than ever, it’s proving increasingly difficult for IT teams to keep pace with all the inevitable software changes that need to be tested.
Learn why testing is a critical priority at today’s leading enterprises and how sharpening your focus on quality will benefit the business.
With so much information and so many possible combinations of metrics and reports to track, it is easy to get overwhelmed trying to make sense of it all. This ebook highlights reporting best practices for data-driven decision making.
Discover which Agile testing methodology is right for your organization and how testing teams can benefit from using various methods, from BDD to Kanban to Scrum.
Download this paper to explore strategies and best practices for catching data integrity issues as early as possible—to reduce the resources required to address them and ensure that data integrity issues don’t compromise the accuracy of the data that business leaders rely on.