Effective software testing begins with a well-structured and comprehensive test plan. It serves as the roadmap guiding testing activities, ensuring thorough coverage, and delivering reliable results. In this post, we'll delve into the key points when creating a test plan that sets the stage for successful software testing endeavors.

Ever felt overwhelmed by the complexity of the system that you’re testing? Navigating intricate software systems can be daunting, leaving us feeling lost and unsure where to begin. While exploratory testing gives us some degree of freedom to test, we still need some guidance on how to approach those complex systems. This is where heuristics might help by guiding us to efficiently navigate the complexities of software systems and uncover hidden issues.

Is your startup operating with no QA team and trying to figure out your options for improving software quality? Perhaps you’re proactively thinking about your QA process before quality becomes a problem. Our maybe quality issues have forced you to finally address your QA process (or lack thereof). Either way, end-to-end (e2e) automated software testing is always part of the answer.

The agile development landscape needs strong and effective automated testing solutions to assure the quality of online applications. Choosing the correct test automation framework is critical for efficient testing cycles. While Selenium remains a popular standard, Playwright has evolved as a strong competitor because of its architecture and ability to handle the intricacies of modern online applications.

Confidential computing offers a groundbreaking approach to data security confidentiality, vital for industries like healthcare, finance, and government, where sensitive information reigns supreme. Unlike traditional security measures that center on data at rest or in transit, confidential computing shields data during the processing phase itself.

While working on an application that required executing a command to run a blocking program, such as a TCP/HTTP server, I encountered an interesting challenge. I needed a way to stop the application and its child processes when a signal was sent to the main program, such as SIGINT (Ctrl+C) or SIGTERM. This blog post shares my journey and the solutions I found to manage processes effectively in a Go application, focusing on Linux environments.

Whether you’re building a web application, a mobile app, or any other software product, integrating with third-party APIs is almost inevitable. But what happens when you need to test your application’s behavior without relying on these external services? That’s where the magic of simulation comes in handy. In this blog, we’ll explore how you can simulate responses effectively, even if the actual service isn’t available.

In this blog, we will demonstrate how to get the code coverage data for each incoming request on a python web server built using any web framework.

Taylor Swift's Eras Tour broke records, hearts, and the Internet itself. Even if you're not a Swiftie, web developers and QAs can learn many lessons from this event. Marcus Merrell explains.

Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes.