Tag: f

A false negative result would indicate that “the change being tested has not improved the key metric significantly when in fact, the change generally has a positive impact on the underlying behavior.”

A feature branch is a copy of the main codebase, where an individual or team of software developers work on a new feature until it is complete.

False Discovery Rate (FDR) is a measure of accuracy when multiple hypotheses are being tested at once. Ex: multiple metrics measured in the same experiment.

Feature flag management is the process of managing feature flags. Management systems can be either bought or built, but good ones have four key traits.

What is false positive rate, and how is it calculated? How does it compare to other measures of test accuracy, like sensitivity and specificity?

Ordinary software development is rife with guesswork. Introducing feature experimentation with Split’s feature flag based experimentation platform.

A feature rollout plan allows the introduction of a set of new features to a group of your user base, often to a limited user set initially.

Feature flags is a software development tool used to safely activate or deactivate features for testing in production, experimentation, and operations.

A feature flags framework is a tool for software development that allows individual features of a software product to be individually enabled or disabled.

Feature flags have been instrumental in progressing the DevOps philosophy to achieve continuous delivery of new, high-quality features.

Feature toggles let developers “toggle” features on and off without releasing new code. They’re an alternative to feature branches with many use cases.