📚 D is for […]

D is for debugging…what else?

(LinkedIn & X versions)

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design
dependency
decode
delivery
describe
decipher
detailed
domain
disciplined
domain modelling
dependency graph

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DEFECT!

I’m getting a lot of milage out of problems with the system here hahaha

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D is for defocus.

Sometimes you’re in too deep and your brain overthinks what it would like to achieve. If you’re no longer discovering helpful information step away for a while with the power of a defocus. Go get some fresh air or a glass of water. And then pop back to focus. It’s incredible what a short break can do. :slightly_smiling_face:

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Data Driven Testing. Always… keep… your… data… separate… from… your… code…

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Defenestration - all some code is fit for. (I can say this because I’m a programmer and have probably written some of it.)

Dialogue

Doubt - sometimes we should apply an innocent-until-proven-guilty approach (for instance, when talking with colleagues) but sometimes we should apply an until-you-show-me-convincing-evidence-I-won’t-accept-your-hypothesis approach instead. You think this software’s fit for purpose? You think that this spec/user story/etc. represents work that will result in users being happier? Those are interesting hypotheses and I look forward to the evidence that supports them.

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D is for Data - user data vs synthetic data

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Domain testing - I think the technique used for most interesting bugs, when doing deep testing, includes so much data

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Data migration testing on production Database Dump :wink:

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D is for Detection… of what?

Bugs
Defects
Issues
Anomalies (My favourite statement)
Unexpected Data
Excess Code
(No) Problems
Any other recommendations?

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D is for Donut - Android 1.6

donut

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D is for Deming, the ‘grandfather of quality’:W. Edwards Deming

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