Systems | Development | Analytics | API | Testing

We all know the why it’s important to write clean, reliable code. But let’s face it, catching bugs before they wreak havoc on our applications can feel like chasing after a greased weasel. That’s where testing frameworks come in, acting as our trusty bug-hunting companions. In this blog, we’ll be putting two popular frameworks – Jasmine and Mocha – head-to-head.

Now-a-days the data needs to be shared across different systems and platforms. One of the most common formats for this data exchange is JSON (JavaScript Object Notation). Understanding how to properly handle special characters in JSON is crucial for ensuring data integrity. In this blog, we’ll explore JSON escape and unescape, explain their importance. So let’s get started!

I love this quote, though I’m not quite sure if “Jan Houtema” is a real person. It may be a Paul Graham pseudonym… But in any case, yes, change breaks brittle things and one of the challenges of automated browser testing is to mitigate that effect as much as possible while you design tests for an ever-changing application.

In the world of computer science and data transmission, encoding and decoding are fundamental concepts. One of the most commonly used encoding schemes is Base64. This encoding method is widely used in various applications, from email encoding and web data transfer to encoding binary data for storage. So let’s explore more in detail about Base64 decoding, exploring its purpose, how it works, with some practical real life examples.

New apps and products enter the market daily, each undergoing rigorous testing before release. As automated processes advance across various industries, software development is no exception. Many quality assurance (QA) teams heavily invest in automation to handle most of their tests. This ensures repeatable tests are efficiently executed while quality assurance professionals focus on other tasks. With all these advancements, one might wonder: Is manual testing still important? The answer is yes!

Is there a formula or approach to estimate how much you should spend on your quality engineering (QE) efforts? Our CEO, Steve Semelsberger, is frequently asked that question in discussions with other leaders. In part II of his quality engineering for CEOs series, Steve guides us through various scenarios and offers a unique approach to calculating your QE spend based on your specific business needs. Read the article now! If you missed part I, you can catch up on it here.

Regression defects are unexpected errors that arise in previously functional software following updates or modifications to the codebase. A significant 85% of development managers agree that reducing technical debt, including regression defects, without compromising innovation has become increasingly difficult. If you’re like most software developers or testers, you’re always looking to improve the quality of your code. One way to do this is by understanding and preventing regression defects.