Whether you're a seasoned Java programmer or a Java neophyte, testing Java applications is important. It ensures your application does what it's supposed to. Fortunately, there are plenty of automated ...

In resource-constrained embedded devices, testing has to cover dozens of operating-system/processor environments. To fulfill its "write-once, run-anywhere" promise, Java technology must be widely ...

This guide presents an overview of the Top 15 Test Automation Tools, highlighting their key features, pros and cons, and ...

This book shows how to understand what application you want to write, what strategies are likely to get you there, and then how to measure your level of success. This book offers practical, concrete ...

Diffblue, a spin-out from Oxford University, uses machine learning to help developers automatically create unit tests for their Java code. Because few developers enjoy writing unit tests to ensure ...

RPA vs. test automation: What are the differences? Your email has been sent Automation tools have since adopted 4.0 technologies in their evolution. Part of this adoption uses RPA, artificial ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

AI-powered tooling has been around for quite some time. You may even be using AI-based services without even realizing it. However, they had been mostly a part of a backend and were effective only for ...

SmartBear has launched Reflect Mobile, an AI-powered, no-code, test automation tool kit that enables QA professionals to test native apps across the iOS and Android mobile platforms. Announced June 11 ...