84
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 09 Jul 2023
84 points (97.7% liked)
Programming
17557 readers
276 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 2 years ago
MODERATORS
I use coverage tools like nyc/c8, but I can easily get 100% coverage on buggy, exploitable, and unstable code. You can have two projects, both with 100% coverage, and one be a shit show and the other be rock solid - so I was wondering if there's a way to measure quality of tests, or to identify code that really needs extra attention (despite being 100%). Mutation testing has been suggested and that's really interesting, I'm going to give it a go tomorrow and see what it throws up!