anomaaliatest
Anomaaliatest is a term that describes a type of testing focused on identifying unexpected or unusual behavior within a system or dataset. This is distinct from traditional testing methodologies that primarily focus on verifying known requirements and expected outcomes. Instead, anomaaliatest seeks to uncover deviations from established patterns or norms, which could indicate errors, bugs, security vulnerabilities, or emergent properties of a system.
The process of anomaaliatest often involves establishing baseline behavior through monitoring and historical data analysis. Once
Techniques employed in anomaaliatest can range from statistical methods like outlier detection to machine learning algorithms