How’s it going, I'm a Adam, a Full-Stack Engineer, actively searching for work. I'm all about JavaScript. And Frontend but don't let that fool you - I've also got some serious Backend skills.
Location
City of Bath, UK 🇬🇧
Education
10 plus years* active enterprise development experience and a Fine art degree 🎨
For every metric, there is an equal and opposite metric.
Test coverage is good to know and track, but it can hide problems if it isn't a factor considered alongside a lot of principles and qualitative decision making.
Yes exactly; test coverage isn't the goal in itself and I think sometimes focusing too much on a percentage coverage is a distraction from creating an actual robust pipeline.
See also: snapshot testing in the frontend. Very easy to achieve close to 100% coverage with tests that are easily ignored and overwritten when they fail 🙄
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Super high coverage testing is sometimes a waste of time 😬
Who writes the tests to test the tests?? 😵
Coast guard.
Mutation testing
Many, many times.
That said, if you are publishing libraries that are meant to be reused (e.g. on PyPI, or NPM), 100% is often a good idea.
100% coverage of low quality tests is so much worse than 20% critical tests.
💯 coverage is usually an indicator of highly coupled testing, which leads to very fragile tests, which leads to the tests being turned off...
Which leads to anger, anger leads to hate, and hate leads to suffering.
For every metric, there is an equal and opposite metric.
Test coverage is good to know and track, but it can hide problems if it isn't a factor considered alongside a lot of principles and qualitative decision making.
Yes exactly; test coverage isn't the goal in itself and I think sometimes focusing too much on a percentage coverage is a distraction from creating an actual robust pipeline.
See also: snapshot testing in the frontend. Very easy to achieve close to 100% coverage with tests that are easily ignored and overwritten when they fail 🙄