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Last active August 29, 2015 14:22
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Testing for Analytics and Datascience
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AnalyticsTesting.md

Testing for Analytics and Datascience

Introduction

Historically software development for research and for the sciences has not been well tested. This has been the case for a variety of reasons, including:

  • Scientists and researchers are not developers, and simply don't know about best practices
  • Non-deterministic functions are difficult to test
  • Set-returning functions (most of data munging) are very time-consuming to test because you must generate a lot of test data
  • It's really difficult to think through all of the possible edge cases like you might try in TDD

Using and Testing Functions

Using and Testing Views

Other thoughts

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