In the modern era of AI-based innovations and cloud transitions, businesses face the challenge of managing complex processes across multiple systems — and the rate of change is only accelerating. At the same time, businesses need to ensure that the introduction of new innovations driven by accelerated business transformation doesn’t break existing processes and systems.

Testing early and often may sound like a simple idea, but implemented effectively requires a cultural shift and the right set of practical tools.

When we initially started building our test recorder, we needed a way to validate the id attributes being used on the page. We would sometimes capture an id attribute in a recording, only to find that it failed when we used it in a test, because it didn’t meet specification. For instance, sometimes websites would use an id with a number in front, like this: That is technically invalid, at least in the HTML4 specification.

Welcome to the ultimate resource for mastering load testing! Whether you’re a non-technical business owner, a software engineer, a student, a product owner, a member of a web agency, or a DevOps professional, this article will show you how to approach load testing challenges head on. We’ll progress from the fundamentals to more in-depth strategies, all in a relaxed and easy-to-understand manner. Are you ready to ensure that your website runs smoothly even during peak traffic periods?

Today, as businesses invest approximately 23% of their annual IT budget in QA and testing, the field of QA is undergoing a transformative shift. QA teams are often tasked with developing comprehensive test plans based on application development methodologies, architecture styles, frameworks, and other factors. However, for QA teams to develop better-quality software, they need to have the right mindset rather than simply enforcing rigid review processes.

In the digital age, data is the lifeblood of organizations, driving strategies, innovation, and decisions. However, harnessing its power requires more than just collecting the data. It demands meticulous management of data quality, governance, and lineage. These pillars form the backbone of informed decision-making, enabling organizations to transform raw data into actionable insights. According to Gartner, poor data quality costs organizations an average of $12.9 million every year.

When working with JavaScript, you often deal with objects. Objects are collections of key-value pairs, where each key is a unique identifier for its corresponding value. Checking if a kеy еxists in a JavaScript objеct is a common task for developers when working with JS objects.

Software testing evolved from a simple debugging activity in the 1950s to becoming integral to software development with advanced testing tools and test estimation techniques. As a C-level executive or business developer, ensuring your teams provide accurate QA effort estimates is crucial. This precision influences the project outcome and bolsters your credibility with clients. Underestimating QA efforts can lead to potential underperformance and unclear requirements.