Systems | Development | Analytics | API | Testing

In quality engineering, axioms are foundational truths drawn from years of practice that underpin effective, scalable automation systems.

CI/CD performance testing seamlessly integrates performance validation directly into your development pipeline. Instead of treating performance as an afterthought, this approach makes it an automated part of your workflow. By testing performance with every build, you can identify issues early, ensure consistent performance across releases, and maintain quality standards for your application.

Artificial Intelligence (AI) has revolutionized various industries, including software development. One particular area where AI has shown significant promise is generating unit tests effortlessly. With the help of AI-based tools, developers can automate the process of creating unit tests, saving time and effort. In this blog, we will delve into the pros and cons of AI-generated unit tests, highlighting their potential benefits and addressing any concerns.

One of the biggest challenges in software testing is not having the right visibility. Too little knowledge, and you’re guessing. Too much, and you get bogged down in code.

February introduced key enhancements to Katalon Studio, Runtime Engine, and TestCloud, boosting test automation efficiency, performance, and user experience. These updates reinforce our commitment to continuous improvement, enabling teams to test faster and more reliably. Here’s what’s new this month.

API’s have become the backbone of modern digital ecosystems, enabling seamless integration and interaction between diverse systems, applications, and services. Organizations increasingly rely on APIs to deliver robust functionality, enhance user experiences, and drive operational efficiency. Additionally, APIs are playing an even greater role in the future of AI-driven systems.

Quality can no longer be an afterthought and traditional testing approaches often struggle to keep up with modern applications’ complexities. This is where data-driven testing comes in - bringing predictive insights to the forefront of QA. Data-driven testing enables a strategic approach to quality, where every test is backed by insights. As the world moves into a future driven by AI, automation, and continuous testing, embracing data-driven testing became essential.

As federal agencies adapt to tighter budgets and smaller teams, they must find smarter ways to deliver secure, high-performing services. Automated testing offers a practical path to streamlining processes while safeguarding performance, security, and reliability. Government software development is undeniably complicated. Agency teams balance compliance, security, and legislative requirements while supporting legacy systems, mobile apps, and the latest technologies.