Systems | Development | Analytics | API | Testing

In contemporary software engineering, it is not sufficient to simply confirm that software applications function perfectly across all features – they also need to behave correctly with real users in real worlds. In this context, scenario testing has a significant role to play. Scenario testing fills the gap between functional testing and real user experience based on validating software by simulating end-to-end user journeys.

Using Subversion (SVN) for version control? With SVN commands, you can work in SVN more efficiently. Here we list out some of the most popular Subversion commands along with an SVN cheat sheet. —

AI has rewritten the rules of software development. Developers can now generate, fix, and ship code in seconds. This is transformative, but as shared by SmartBear CEO Dan Faulkner, “The tools that help us build software are advancing much faster than the tools that ensure we can trust it.” For software quality to keep up with AI coding, today’s tools must evolve to remain effective. SmartBear is answering this call.

PDF documents play a critical role in various industries, serving as the final output for customer-facing documents such as invoices, contracts, and compliance reports. However, testing these documents poses significant challenges due to their complex nature, which includes mixed content, dynamic data, and strict formatting requirements. Manual testing of PDFs is not only time-consuming but also prone to human error, making automation an essential component of a robust testing strategy.

Cursor is fantastic at cranking out code changes. I recently used it to splice a brand-new downstream API call into one of our Go microservices, and the diff looked great. The unit tests finished before I lifted my coffee mug, yet I still had zero certainty the change would survive contact with real traffic. That gap is all about integration tests, so I paired Cursor with proxymock and the outerspace-go demo service to prove the behavior end to end.

Have you ever considered how well-tested your.NET code simply is? Many teams feel their test suite is complete until a bug makes its way into production. The hard part is not just writing tests, but determining if tests cover critical paths. When using standard coverage tools, coverage can seem convoluted and unrelated to how you write code. This is where Coverlet coverage comes in – a simple to use, open source library for measuring test file coverage, and improving test coverage.