Black-box testing using Equivalence Partitioning (EP) and Boundary Value Analysis (BVA).
-
Updated
Oct 22, 2025 - Python
Black-box testing using Equivalence Partitioning (EP) and Boundary Value Analysis (BVA).
This project implements an unsupervised machine learning approach to detect anomalous financial transactions using K-Means clustering algorithm. The system analyzes transaction patterns based on amount and timing to identify potentially fraudulent activities in financial data.
Add a description, image, and links to the boundary-value-analysis topic page so that developers can more easily learn about it.
To associate your repository with the boundary-value-analysis topic, visit your repo's landing page and select "manage topics."