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Testing

The latest News and Information on Software Testing and related technologies.

Boost Your Workflow with the Ultimate Local Development Mock

The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.

What is Cucumber Testing? A Guide To Testing With Cucumber Tool

In this blog, we will walk you through the essentials of setting up Cucumber for your project. You will learn about the prerequisites, installation steps, and configuration needed to get Cucumber up and running. This guide will provide clear instructions for various environments, ensuring you have everything you need to start writing your first Cucumber tests.

What Are Effective Metrics in Software Testing?

When it comes to software testing, context matters more than just numbers. @Titus Fortner sheds light on why meaningful metrics are essential for accurate risk assessment. Here's why this matters: In-Depth Understanding: Move beyond simple code coverage to understand the actual state of your system. Contextual Testing: Avoid assumptions and test the real-world scenarios to catch hidden bugs. Effective QA: Ensure that your metrics provide valuable intel, not just surface-level data.

S1.E17: Testing techniques | QA Therapy Podcast

In this episode, we're excited to chat with Joel Oliveira, a seasoned speaker at conferences and meetups, who brings a lot of experience as a Senior QA Manager at Celfocus. With Xray Enterprise, you can generate optimized test scenarios using cutting-edge pairwise algorithms. This means you can maximize the impact of your testing efforts while making efficient use of your time and resources. // R E S O U R C E S.

Episode 04: Gen AI in Healthcare

In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam discuss the impactful presence that healthcare industry can expect from Generative AI. The discussion takes into account, all the major challenges that are face by modern digital ecosystems for healthcare. Sam will tell us about how healthcare businesses can leverage generative AI to deal with these challenges and helps automate healthcare processes, personalize patient care, and empower decision-making.

Crafting the Best Golang Developer Environments

Go is an open-source programming language and developer environment from Google that allows for incredibly efficient and powerful applications. Go’s expressive syntax enables developers to write clean, efficient, concise code, allowing faster development cycles and easier maintenance. Whether you’re developing complex distributed systems or lightweight microservices, Go and its powerful libraries provide the tools necessary to create robust and scalable solutions.

Shift-Left Testing vs. Dev Overload

Shift-left testing isn't about overloading developers with QA tasks—it's about strategic integration. @Titus Fortner explains the critical difference between true shift-left testing and merely piling QA duties onto developers: Early Integration: Having a dedicated QA integrated early into the process helps prevent defects. Specialized Expertise: Shift-left testing utilizes specialized QA professionals who have the deep knowledge and skills needed for effective testing.

User Acceptance Testing (UAT) 101: Definition, Purpose, and Examples

You’re testing a user registration page on a website to ensure that new users are able to set up their account easily. You build a test that checks to make sure that users can: Congratulations, you’ve just automated a user acceptance test. But what is user acceptance testing (UAT)? And why is it important for QA testers to understand? In this article, we’ll walk you through everything a QA tester should know about user acceptance testing.

Harnessing AI for Seamless Software Testing: The Self-Healing Revolution

What drives organizations to make the tough choices between speeding up releases, cutting costs, boosting product quality, and sparing time for innovation? One of the critical reasons is the time consumed in maintaining failed test cases and the inability to leverage AI in testing. Test automation is proving ineffective and outdated due to the high cost and time needed for maintenance.