~/talk

Escaping The Tar Pit

Talkat RubyConf 2019 · 2019-11-18..11-20· [ruby]
slides:none on file

Uses SimpleCov to get statement coverage (example 82%), and RubyCritic (Flog/Reek) to score complexity and smells, then combines them into a Skunk stink score that penalizes low coverage. Outputs a sorted list of stinkiest files, a stink-score average, and diffable branch comparisons (claiming e g +10% improvement versus master). Recommends refactoring files with ~60%+ coverage first, using Coverband to find dead code, and ships Skunk as open source to automate the workflow.

AI-written summary · about

  1. 0:00Intro
  2. 0:13Escaping The Tar Pit
  3. 1:25Founder & Software Engineer
  4. 3:26Chapter 1: The Tar Pit
  5. 8:03Part 1: Avoiding the tar pit
  6. 8:54How can we quickly assess code quality?
  7. 9:24Open Source Gems Static code analysis
  8. 10:12What is software quality anyway?
  9. 10:31"The degree to which a system, component, or process meets implicit and explicit requirements." IEEE
  10. 19:49Are you getting into a tar pit, is it a dumpster fire, or have you found a project which is easy to maintain?
  11. 21:15Files which lack tests should be penalized
  12. 21:59foo.rb and bar.rb are equally stinky
  13. 28:44Churn vs. Complexity is not enough to prioritize
  14. 32:42Code Coverage; Complexity; and Smells
  15. 33:23Your compass to get out of the tar pit
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