When 100% Test Coverage Isn’t Enough

📰 Medium · Data Science

100% test coverage isn't enough to ensure code quality, learn how to improve testing with concrete examples

intermediate Published 12 Apr 2026

Action Steps

Write a test suite for the clean_text function using a testing framework like unittest
Use a code coverage tool like coverage.py to measure test coverage
Identify edge cases and write additional tests to cover them
Use a testing library like hypothesis to generate test cases and improve test coverage
Refactor the clean_text function to make it more testable and maintainable

Who Needs to Know This

Developers and QA engineers can benefit from understanding the limitations of test coverage and how to write more effective tests to ensure code quality

Key Insight

💡 Test coverage is not a perfect measure of code quality, and writing effective tests requires considering edge cases and using the right tools