- Jun 2021
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docs.gitlab.com docs.gitlab.com
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Only test the happy path, but make sure to add a test case for any regression that couldn’t have been caught at lower levels with better tests (for example, if a regression is found, regression tests should be added at the lowest level possible).
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- Mar 2021
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tobeagile.com tobeagile.com
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Why separate out red tests from green tests? Because my green tests serve a fundamentally different purpose. They are there to act as a living specification, validating that the behaviors work as expected. Regardless of whether they are implemented in a unit testing framework or an acceptance testing framework, they are in essence acceptance tests because they’re based upon validating behaviors or acceptance criteria rather than implementation details.
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en.wikipedia.org en.wikipedia.org
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Sometimes a change impact analysis is performed to determine an appropriate subset of tests
Hey, I do that sometimes so I can run a smaller/faster subset of tests. Didn't know it had a fancy name though.
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non-regression testing
That would probably be a better name because you're actually testing/verifying that there hasn't been any regression.
You're testing for the absence of regression. But I guess testing for one also tests for the other, so it probably doesn't matter. (If something is not true you know it is false, etc.)
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Regression testing (rarely non-regression testing[1]) is re-running functional and non-functional tests to ensure that previously developed and tested software still performs after a change.[2] If not, that would be called a regression.
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- Sep 2020
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www.sciencedirect.com www.sciencedirect.com
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Gignac, G. E., & Zajenkowski, M. (2020). The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data. Intelligence, 80, 101449. https://doi.org/10.1016/j.intell.2020.101449
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- Aug 2020
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www.jahonline.org www.jahonline.org
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Gaiha, S. M., Cheng, J., & Halpern-Felsher, B. (2020). Association Between Youth Smoking, Electronic Cigarette Use, and Coronavirus Disease 2019. Journal of Adolescent Health, 0(0). https://doi.org/10.1016/j.jadohealth.2020.07.002
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- May 2020
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Roland, L. T., Gurrola, J. G., Loftus, P. A., Cheung, S. W., & Chang, J. L. (2020). Smell and taste symptom‐based predictive model for COVID‐19 diagnosis. International Forum of Allergy & Rhinology, alr.22602. https://doi.org/10.1002/alr.22602
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- Nov 2015
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Visual regression testing tool that may be worth investigating.
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