Coverage Testing, the Good and the Bad

Coverage testing measures the execution of code, and is a great way of testing your tests: are they exercising all of your code? There are some pitfalls to be aware of in implementing coverage testing, though. 100% coverage is a fabulous ideal, but not only is it hard to reach, it still leaves a lot to be desired.

Slides of the presentation

coverage.py tool

figleaf coverage tool

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