Fast, Robust, Accurate Or how to love your tests again

An empiric take to testing.

Transcript

1. @xuapsdev Fast, Robust, Accurate (WIP) Or how to love your tests again
2. This is not a talk about opinions
3. 1 - We progress faster with test
4. 2 - Bad tests could be worst than no tests
6. So, what is a bad test from an empirical point of view?
8. Slow tests
9. Slow tests False alarms
10. Slow tests False alarms Di ffi cult to read tests
11. Brittle tests Slow tests False alarms Di ffi cult to read tests
12. Brittle tests Slow tests False alarms Di ffi cult to read tests What else?
13. 3 properties Speed Detection of regressions Resistance to refactor
14. Speed
15. Resistance to refactor
16. Detection of regression
17. Resistance to refactor Detection of regressions Speed End to end test Trivial tests Brittle tests
18. Oh boy my tests are really bad…
19. I am so happy that my tests are so good…
21. Lets get some data
22. Speed
23. DEMO
24. Resistance to refactor
25. Resistance to refactor
26. DEMO
27. Detection of regression
28. Detection of regression
29. DEMO
30. I need to start using this right now
31. How am I using this data?
32. To decide how to test something
33. Tune it!
34. Tune it! Resistance to refactor Speed Detection of regressions
35. Tune it! Resistance to refactor Speed Detection of regressions Resistance to refactor Detection of regressions Speed End to end test Trivial tests Brittle tests
36. To decide if write a test is worthy or not
37. No test is better than a bad test but, then we need something else
38. O b s e r v a b i l i t y
39. @xuapsdev @xuaps@fosstodon.org
40. Do you want an extra ball?
41. Maintainability Extra ball
43. @xuapsdev @xuaps@fosstodon.org