Software Testing Articles, Blog Posts, Books, Podcasts and Quotes
In the fast-paced world of online gaming, ensuring smooth and secure gameplay is paramount. For online poker, even a small bug can disrupt a hand, miscalculate chip counts, or create unfair advantages. This is where automated testing becomes a critical component in protecting players and maintaining the integrity of the game.
The healthcare industry has changed a lot thanks to technology. Tools like electronic health records and telemedicine platforms are now essential to how patients and providers connect. The digital shift has brought huge benefits like better convenience and care. However, it’s also created major security vulnerabilities.
Modern development teams rely on test automation to deliver software faster and with greater consistency. It reduces manual effort, speeds up release cycles, and helps catch bugs early. However, as automation becomes more widespread, many teams face roadblocks that limit its effectiveness.
A sudden surge in digital operations has placed heavy pressure on how organizations handle data. When systems get crowded, delays in processing and gaps in precision can distort how output and productivity are measured.
When you visit a website today, checking the security of the site is no longer optional. The total business cybercrime costs are predicted to surpass $10.5 trillion in 2025 since attackers now leverage AI tools to speed up their attacks.
Development teams often get frustrated by flaky end-to-end tests because they waste time and reduce trust in CI pipelines. One of the biggest problems is that they hide real product issues behind “false red” builds. If you are working with Playwright .NET, you might often see failures like “element not found” or “timeout exceeded” even though the feature works.
Regression testing is a key practice to prevent changes for bringing negative side-effects in production. Running them could however take a long time and slow delivery of new code. This article introduces change-to-test mapping for regression testing. It is an approach that aims to run only the tests that truly matter, without compromising test coverage.