Systems | Development | Analytics | API | Testing

Software changes fast. Every new update, bug fix, or feature risks breaking something that used to work. That’s why teams rely on regression testing to make sure the old stuff still runs smoothly. But here’s the challenge: you can’t test everything, every time. Regression test suites get large, fast. Running all of them slows teams down. That’s where a risk-based approach for regression testing makes all the difference. Instead of testing everything, you test what matters most.

Regression testing is the process of re-running tests to make sure new code changes don’t break what used to work. It acts like a safety net. If your app used to calculate prices correctly, and now it doesn’t because of a new update. Regression tests are what tell you something broke. Now here’s the real question: should you run those tests manually or automate them? That’s where the discussion around manual vs automated regression testing begins.

Integration testing is a critical phase in software development that ensures different components of a system work together as intended. This blog covers the importance of integration testing, its methodologies, and best practices. Learn more about component and integration testing methods, benefits, and challenges.

Enterprises like yours manage terabytes to petabytes of data daily. Collecting and storing this massive volume of information is already complex. But the real challenge lies deeper. It's in delivering data effectively, securely, and in ways that empower your teams to innovate. This blog will deep dive into the current state of enterprise data automation and examine the limitations of legacy solutions. Then, we will explore how top-performing organizations approach automation in their industries.

How financial institutions in the Gulf are embracing digital transformation and why assurance is their strongest ally.

In the programming language, Python, binary data and text are often used when working with files, APIs, data encoding and decoding, and networking. In this article, we are going to answer some of the common questions that arise in this process. Some of which include what bytestrings are, how to convert strings to bytes and vice versa, their differences, and many more. This guide will cover all that is required for you to master bytestrings in Python.

Exploratory Testing is one of the most valuable practices in software testing, especially when we want to discover issues that impact user experience. But at the same time, it is also one of the most demanding approaches in terms of time and focus. In a world where product development life cycles are becoming shorter and where QA teams need to ensure faster releases without compromising quality, a question arises: How can we gain time without sacrificing the depth of exploratory tests and their findings?

When Katalon made the decision to run its own quality practice entirely on the Katalon platform, it wasn’t just a symbolic gesture. It was a deliberate business decision to replace fragmented tools, eliminate reporting silos, and sharpen product-market fit—all while holding itself to the same standards expected by our customers.

Test scripts break. It’s one of the most frustrating parts of test automation. You update a button. The UI layout shifts. Suddenly, dozens of test cases fail because the locators no longer work. This is where self-healing test automation enters the scene. Instead of failing outright, these smart tests diagnose the issue, find an alternative path, and continue running.

Regression testing is one of the most important parts of software testing. It’s how you make sure that old features still work when new code is added. But running regression tests isn’t enough. You need to maintain them. Test maintenance means updating, cleaning, and adjusting your regression tests to match the latest changes in your product. Without it, your tests break, false positives increase, and your team loses trust in your test suite.