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SmartBear has a long history of providing software quality solutions to help organizations design, test, and monitor more of your code and processes across the entire software delivery lifecycle. Since the introduction of Zephyr to the SmartBear family in 2018, we provide world-class test management capabilities that complement all of our solutions. If you’re involved

Applications are becoming more complex and releases ever more frequent. Overcoming these challenges to deliver quality software faster, is not easy! It requires flexible workflows that provide excellent test coverage and are scalable across teams and projects. True test scalability enables QA teams to create, manage and execute API tests faster using less resources. During this

Managing software licenses and permissions is sometimes underappreciated. It impacts enterprises in two big ways: costs and security. SmartBear understands this. That’s why we’re constantly tweaking and adding user management capabilities to stay ahead of your needs. With SwaggerHub user management controls, you can: Sort your employees into organizations, projects, and teams Sync to your

API standards and automation have become increasingly important to government and private sector organizations in order to ensure the success of digital initiatives and streamlined integrations. Recently, an Australian Federal government agency needed to develop a framework to standardize and automate the creation of APIs. They turned to one of the country’s leading DevOps consultancies,

How satisfied are you with your team’s current code review process? Did you know that the more satisfied teams are with their code review process, the more satisfied they are with the quality of code they produce? When was the last time your team reviewed its current code review process?  Grab a seat as our panel of SmartBear experts walk

Today, development teams are under increasing pressure to ship new features faster to boost user engagement, retention, and grow competitive advantage. Releasing faster can increase the likelihood of issues slipping into production and impacting the user experience.  Feature flags are a way to manage this risk because they allow you to deploy when you want, to whom you want, and dynamically adjust in production depending on the quality