Systems | Development | Analytics | API | Testing

It’s not enough to just test our code's happy path (in other words, the error-free path we hope our users will take). To be really confident our code can’t be abused, either accidentally or on purpose, we must actively attack it to try and find ways of breaking it. If we don’t do this, someone else will, and they probably won’t be as friendly.

Imagine building a system where you want to validate if the logic implemented would fit in when the entire system is built, but for that, you would have to build the entire architecture (well, a lot of resources are spent). Now imagine a way where you can simulate the versions of real objects or components. This is where Data Mock comes into play!

Using a JSON mock allows you to avoid using fake data or simulating interactions, resulting in better final output and stronger data flows. Today, we’re going to dive into the process of creating a mock API using JSON data and tools like JSON-server. This guide will help you understand the basics of this process and get started quickly with your own mock API, allowing you to speed up development and testing without relying on a live backend.

In the alphabet of mobile app development, it’s always been our honor to be so close to BrowserStack, so when the opportunity arose to officially partner up to improve your mobile DevOps experience: it was a no-brainer. We’re partnering to offer our customers access to best-in-class mobile-first CI/CD and automated mobile device testing, including an incredible free product offer.

Automation is very important to achieving efficiency and accuracy in software testing. Tools like Selenium and Cucumber are well-known for automating functional and behavior-driven testing. Yet, as projects scale, managing these tests can become increasingly complex. That’s where Xray steps in. Designed to integrate seamlessly with frameworks like Selenium and Cucumber, Xray offers a centralized solution for managing automated tests at scale.

For software teams committed to using open-source test automation frameworks, LambdaTest is a solid one-stop shop for everything you need in the testing workflow. In this piece, we’ll give you some other options that also operate around open-source frameworks. But if you’re looking to automate your manual tests and haven’t already invested in open source, you should know about the painful tradeoffs that come with using solutions like Selenium, Cypress, or Playwright. For example.

In the world of software development, testing and debugging are two of the key components. These two key components are dedicated to different purposes. Before you prioritize between these two and know more about testing vs. debugging, you must have an in-depth knowledge of testing individually. Testing and debugging are essential for software development projects. This write-up will break down these two components, and you will receive insight into the comparisons and the factors related to them.

The software testing landscape is experiencing an unprecedented transformation as we venture into 2024. This transformation isn't merely an incremental change—it represents a fundamental shift in how organizations approach quality assurance and testing methodologies. At the heart of this revolution lies artificial intelligence (AI), which is reshaping traditional testing paradigms and creating new possibilities for quality assurance professionals and developers alike.