We are thrilled to announce the release of Vera 2024.2 In this new version, we are introducing significant enhancements such as traceability, streamlined importing of release and linked records, and automated documentation generation. These updates improve regulatory compliance, boost user productivity, and provide comprehensive visibility into your project’s lifecycle.

Kotlin Generics are a way to use generics in Kotlin that have type parameters specified to their usage. This powerful tool defines code components so that they will work with any data type in a flexible and reusable manner – and the main advantage of Kotlin Generics is how they are statically-typed.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

Feature flags are a powerful tool in software development, allowing developers to control the behavior of an application at runtime without deploying new code. They enable teams to test new features, perform A/B testing, and roll out changes gradually. In Ruby on Rails, feature flags can be managed using diverse tools, the most popular being the Flipper gem.

Service virtualization, which gained prominence in 2012, has significantly transformed the way software testing and development are approached. Originally designed to address limited access to dependent systems during development, service virtualization has evolved into a critical technology for enabling efficient and continuous testing. This blog explores its origins, key advancements over the past decade, ongoing challenges, and how API simulation is shaping the future of testing.