Software Testing Articles: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
Advances in voice artificial intelligence have greatly transformed the way we interact with digital systems. From smart speakers to sophisticated content creation devices, AI voices are becoming increasingly integral to our daily lives. This growing dependence on man-made speech makes voice quality and speech accuracy a fundamental element of user satisfaction.
In the modern software development lifecycle, test data is as critical as the test cases themselves. Without realistic and diverse datasets, even the most sophisticated automated testing frameworks can fail to detect hidden defects. Traditionally, QA teams have relied on manual creation, production data sampling, or synthetic generation tools. However, with the rise of Generative AI in 2025, the game has changed.
Online gambling is a major hit around the world. Everyone who enjoys games of chance and casino gameplay has at least tried or heard about online gambling. But hold on – is it possible for casinos to offer a fair and reliable experience? How do call bets work in roulette in this case?
So you’re probably sitting there wondering why your testing process feels like complete chaos while other teams seem to have everything figured out. Here’s the thing – most people confuse test plan and test scenario and end up using them wrong. Big mistake. These aren’t interchangeable terms you can throw around randomly.
Internet of Things (IoT) and its related technologies require proper testing, which often comes with several challenges. Since IoT applications must connect and communicate with different platforms, their testing phase is usually hectic.
As software development teams are pressured to deliver products faster, testing must adapt. In this article, Damien Johnson explains that teams must align their software strategy to the new context. A unified test management system should become the centralized hub that brings together the key components of the quality assurance (QA) strategy to minimize operational risks.
There’s a popular belief that companies like Google, Facebook, or Microsoft don’t do QA anymore. Developers write tests, everything is automated, and they ship thousands of times per year without anyone ‘testing’.
Copyright © 2009-2026 Software Testing Magazine by Martinig & Associates