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To discover user journeys for test coverage analysis, you can automatically crawl your codebase to map distinct flows and generate a coverage map highlighting tested and untested steps. This provides a clear overview of critical test gaps.

Codebase journey mapping identifies and visualizes all user flows within a project to show which steps lack test coverage. It helps with gap analysis by generating a journeys.json file that clearly indicates where your test suite is missing critical paths.

You visualize test coverage gaps for user flows by scanning your codebase to map each journey step and generating a journeys.json file. This file indicates which steps in a journey are covered by existing tests to pinpoint exact vulnerabilities.

Yes, you need Python3 installed to map codebase user journeys and check test coverage. The process relies on Python scripts to perform framework detection, scan existing test coverage, and validate the generated journey maps.

Yes, you can use journey mapping to plan automated test suite generation. By identifying which steps in your user flows lack test coverage, you can prioritize and target your test automation efforts exactly where gaps exist.

The best way to audit an existing test suite against current user flows is to map all codebase journeys and visualize the test coverage status for each step. This highlights critical gaps and validates whether your tests align with actual user behavior.