Software Analytics¶

Software Analytics is a set of techniques for continuously measuring the health of a codebase against defined structural rules and quality targets, turning source code into structured data so teams can answer architectural questions with evidence rather than intuition. It bridges the gap between architecture documentation and implementation reality by representing dependencies, module boundaries, and coupling metrics as a queryable graph. Tools like jQAssistant scan compiled artifacts and expose these relationships directly, giving teams objective signals about where technical debt is accumulating and where the intended design is eroding.

See also: Software Architecture · Technical Debt · Quality Attributes