Engineering and product leaders often struggle with balancing speed, quality, and cost in software testing, especially with the rapid evolution of technology and increasing demands for efficiency from executives. To address these challenges, many are turning to Testing-as-a-Service (TaaS). This outsourcing model uses expert partners to scale testing capabilities dynamically without requiring extensive in-house resources.

TDD refers to Test Driven Development and BDD refers to Behavior Driven Development; are fairly similar development approaches that both emphasize testing and collaboration, yet have major differences. TDD is more developer-centric, revolving around code correctness, with programming language-specific frameworks. On the other hand, BDD is more user-centric and revolves more around system behavior. In this article, we will explore in-depth what is TDD and BDD. So, let’s dive in!

Open source program offices play a huge role in bridging the gap between the rapid pace of technological advancements and growing disparity between growth and quality. Sauce Labs' very own Paloma Oliveira was invited to the UN's OSPOs for Good. Here's a recap of why the free software movement has never been more important.

Offering remote working options to employees allows them to work globally and achieve a better work-life balance. For companies, this means tapping into the global talent pool and finding top candidates. Thus, hybrid workplaces, which combine office and remote work, are becoming increasingly popular. However, managing such environments comes with unique challenges. Leaders must use innovative approaches to maintain team cohesion, support well-being, and leverage technology for optimal productivity.

End-to-end (E2E) testing and regression testing are critical aspects of software testing that play very different roles. E2E Testing evaluates the entire application, simulating real user experiences. In contrast, regression testing checks if recent updates or changes have inadvertently disrupted existing functionality. Choosing the right testing strategies is as important as testing frequently.

Ensuring data integrity is crucial for accurate decision-making and regulatory compliance. Poor data quality costs businesses an average of $15 million annually. This highlights the need for robust analytics testing. This article explores the importance of analytics testing. It discusses key use cases and common challenges. Strategies to improve analytics testing processes will be provided. These will help maintain data integrity without expanding the in-house QA team.

Product analytics helps you understand how users interact with your product, offering insights that drive growth and improve user experience. In this guide, you’ll learn about essential metrics, strategies, and tools for effective product analytics. By leveraging these insights, businesses can make informed decisions, optimize product features, and enhance overall user satisfaction.

Processes are the foundation of your organization. They lay the groundwork for how your business operates, from product development and customer service to procurement and financial operations—and everything in between. Even work that isn’t formally defined in a process is likely a part of one. If you’ve ever tried to map or document a business process, you’ve probably learned that there’s no straightforward way to get it done.