Systems | Development | Analytics | API | Testing

In the past, testing for non-functional requirements (NFR) was often neglected, done to the extent possible at the end of the life cycle. For modern development teams, that is no longer an option - to deliver high-quality applications, they have to implement a comprehensive testing strategy with proper allocation of resources to both functional and non-functional components.

The software testing landscape, while crucial for ensuring application quality, has grappled with limitations in traditional methods for decades. This article explores how Artificial Intelligence (AI) is emerging as a game-changer, addressing these challenges and augmenting the capabilities of testers. By combining advanced machine learning, deep learning, natural language processing, and other techniques, AI offers a powerful toolkit to propel software testing into a new era.

Just shy of a year ago and coinciding with the Atlassian Team ‘23 conference, Testlio unveiled an initiative to help product teams adopt signal-driven testing as a core pillar of the future of software quality engineering. A lot of exciting things have happened and continue to happen since that announcement, which collectively serves as validation of the opportunity for product teams to dramatically improve test coverage efficiency through signal-driven testing.

The use of advanced robotics in the industrial automation industry is growing, helping organizations to save time and accelerate production. Extensive use of the Industrial Internet of Things (IIoT) in smart factories, advanced sensors, artificial intelligence (AI) and machine learning (ML), and connected devices and processes across distributed locations enable human-robot interaction (HRI) like never before.

Appium Inspector integrated support in Sauce Labs Real Device Cloud, using the latest version of Appium, now allows you to inspect Appium locators in real-time for native applications.

Testing Pull Requests (PRs) in software development offers numerous advantages. It fosters collaboration among team members, minimizes errors, provides valuable learning opportunities, promotes transparency, and facilitates the onboarding process for new developers. Encouraging Collaboration: PRs promote open discussions regarding code changes, enabling developers to provide feedback, propose enhancements, and seek clarification before integrating new code.