Fast feedback on every change you do to your software codebase is essential for a rapid and safe development cycle. Failed test runs need attention from human experts that can quickly analyze and take necessary action. Our problem: the number of failed tests results is higher than our little group …
Mutation testing is a technique for systematically mutating source code in order to validate test suites. It makes small changes to a program’s source code and then runs a test suite; if the test suite ever succeeds on mutated code then a flag is raised.
This talk discusses good ways to organize packaging and testing for Python projects. It walks through a per-company and an open source scenario and explains how to best use the “devpi-server” and “tox” for making sure you are delivering good and well tested and documented packages. As time permits, we …
If you’ve never written tests before, you probably know you *should*, but view the whole process as a bureaucratic paperwork nightmare to check off on your ready-to-ship checklist. This is the wrong way to approach testing. Tests are a solution to a problem that is important to you: does my …
This talk overviews the various deployment tools available today, discusses their different tradeoffs, and helps shine a light on which might be the appropriate platform for your project.
One unique and powerful feature of py.test is the dependency injection of test fixtures using function arguments. This talk presents py.test’s fixture mechanism gradually introducing more complex uses and features. This should lead to an understanding of the power of the fixture system and how to build complex but easily-managed …
