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Software testing for scientists

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A down to earth guide to testing academic software.

Publié dans : Formation
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Software testing for scientists

  1. 1. Testing academic code OR “HOW TO AVOID HAVING TO RETRACT YOUR PAPER” https://neurohackweek.github.io/software-testing-for-scientists/
  2. 2. Meet Dr. Geoffrey Chang https://neurohackweek.github.io/software-testing-for-scientists/
  3. 3. Meet Dr. Geoffrey Chang https://neurohackweek.github.io/software-testing-for-scientists/
  4. 4. Meet Dr. Geoffrey Chang https://neurohackweek.github.io/software-testing-for-scientists/
  5. 5. Types of tests  Smoke tests  Assertion tests  Unit tests https://neurohackweek.github.io/software-testing-for-scientists/
  6. 6. https://neurohackweek.github.io/software-testing-for- scientists/
  7. 7. Smoke tests https://neurohackweek.github.io/software-testing-for-scientists/
  8. 8. Continuous integration https://neurohackweek.github.io/software-testing-for-scientists/
  9. 9. Assertion tests https://neurohackweek.github.io/software-testing-for-scientists/
  10. 10. Meet Dr. Geoffrey Chang “Since that time, however, Chang has published other papers in the field of structural biology,[4][5] and has been awarded a EUREKA grant, "for exceptionally innovative research projects that could have an extraordinarily significant impact on many areas of science," from the National Institutes of Health.[6]” https://neurohackweek.github.io/software-testing-for-scientists/

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