Systems | Development | Analytics | API | Testing

Another day, another API. Fueled by AI-assisted coding and agile workflows, the speed of innovation has never been higher. But for the compliance team? It’s panic mode. Every new API must follow a minefield of internal rules: security protocols, naming conventions, reuse policies, documentation standards. And while the dev team is flying forward, compliance is stuck doing manual reviews, chasing specs, and untangling inconsistencies often after the code is already written.

A test suite is a collection of test cases with similar characteristics. They are created to group test cases for a specific feature. Depending on the nuances of your product, there are so many ways to categorize test suites. In this article, we'll show you: Let's dive in!

At SmartBear, we celebrate innovators in software testing who make a real impact on their teams. The Automation All-Star Award celebrates the pioneers using SmartBear Zephyr’s no-code automation to achieve transformative results. We’re thrilled to share the stories of this year’s winner, RAC Motoring Services, and our fantastic finalists: Capgemini, Infor PSSC, Pepper Money, and the Center for Sustainable Energy (CSE).

Automation can make cloud migration faster, cheaper, and safer. It reduces migration time by 50%-80%, lowers costs by up to 30%, and minimizes risks like data loss and downtime. Manual migrations often fail due to human error, complexity, and unforeseen expenses. Here's how automation solves these challenges.

Business applications like Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems stand as the nervous systems of enterprise operations. They integrate core business processes, manage customer interactions, and provide a unified view of business operations. Back in 1999, Hershey's faced a major setback due to a flawed ERP implementation, resulting in a significant loss of sales and profits.

Automated Test Equipment (ATE) serves as a key component of electronic system reliability and performance across industry. While hardware – test fixtures, signal generators, probes – may garner attention, it is software that produces the ‘brilliance’ of intelligence, accuracy, and scalability.

Manual testing gets old fast. You end up clicking through the same workflows over and over, and it’s easy to miss bugs when you’re going through dozens of test cases. Automated testing tools handle the repetitive stuff for you, running tests in the background while you work on actual development. This guide looks at some solid automated testing tools for 2025 that can help streamline your testing process.

In the fast-evolving world of data engineering and operations, agility is no longer optional—it’s a competitive necessity. Organizations are under pressure to deliver real-time insights, automate repetitive tasks, and streamline business processes faster than ever. But traditional, code-heavy development cycles can’t keep up with this pace, especially when every change request adds to your backlog and dev cycles stretch into weeks.

Artificial Intelligence (AI) is revolutionizing industries worldwide, making it indispensable for modern businesses. However, this rapid growth brings a challenge—traditional testing methods are no longer sufficient to ensure the reliability and quality of complex, data-driven AI systems that are prone to bias. To succeed in 2025, organizations must adopt specialized AI automation testing strategies that validate performance and maintain consumer trust.

Gone are the days when core banking teams relied solely on long-winded manual test cycles, midnight war rooms and crossed fingers before a go-live. Today, the industry stands at the edge of a seismic shift, driven by the power of test automation. Having worked extensively in the complex and highly regulated world of core banking systems, we’ve seen this transformation unfold firsthand.