The shift-right testing approach moves testing to later in your production cycle. Also known as “testing in production,” with shift-right, you test software after it has been deployed. It gives you continuous feedback based on real-world user interactions. However, there are major drawbacks to the approach. For example, testing in production risks disrupting your user satisfaction and can mean you catch issues too late to respond to them effectively.

The inclusion of a stable test runner in Node.js(version 18+) has generated significant debate in the community, given the abundance of established third-party testing frameworks. While its arrival naturally sparks comparisons to existing tools, this article won't focus on justifying its place in the ecosystem. Instead, we'll embark on a hands-on exploration of the test runner's core capabilities, from writing and executing tests to organization and customization features.

Test data management (TDM) is a time and resource-intensive process for numerous big corporations. To illustrate, at one American insurance company, test data collection accounted for 16% of all testing activities, translating into $3 million spent on TDM for a project costing $20 million. By introducing sophisticated TDM processes, the company managed to cut testing expenses by $450,000.

In the rapidly evolving landscape of software development, efficient test data management (TDM) is crucial for ensuring high-quality applications. With the right Test Data Management tools, development teams can streamline their testing processes, reduce errors, and accelerate delivery cycles. In this blog, we will explore the 7 best test data management tools in 2024, focusing on their advantages, disadvantages, and pricing.

Before diving into template selection, it's crucial to grasp the essence of a test plan. It's a blueprint outlining the testing strategy, objectives, scope, resources, and schedule for a software project. A well-crafted test plan ensures efficient testing, reduces defects, and improves product quality.

Exploratory testing is highly effective in uncovering hidden issues, but many teams need help when used to manual testing. Teams, products, and users constantly evolve, meaning risks impacting quality are not static or entirely predictable. This dynamic environment requires a flexible approach to identify and address potential issues. This blog post explains how to enhance your overall testing strategy by blending exploratory testing with your team's manual testing routines.

We are thrilled to announce that G2, the world's largest and most trusted tech marketplace, has once again recognized Katalon as a leader across SMB, Mid-market, and Enterprise segments of the software testing solution market. The badges we received show our commitment to excellence. Katalon’s diverse range of products empowers teams of all sizes to efficiently deliver software that excels in quality to their users.