Acceptance Testing

A software testing method that verifies whether an AI application, agent, or system performs its intended functions correctly by validating its behavior against specified functional requirements and expected outcomes.

A testing approach that validates an entire application or AI workflow by exercising complete user scenarios across all integrated components and external dependencies.

A software testing practice that verifies recent code changes have not negatively affected existing functionality or introduced new bugs.

An evaluation method in which human reviewers assess the quality of AI system outputs against defined criteria such as correctness, relevance, helpfulness, safety, or fluency, providing judgments that complement or validate automated evaluation metrics.