| Wow. Thanks for the detailed response. I will try to answer point by point. #2 that tight coupling can ever be good comes as a shock to the learner #3 any breakage is an opportunity learn from and about failure — also when it's broken and you know that is better than if it's broken and you don't know Regarding regression testing: writing tests is a design activity so if it is "driven" by whatever happened to break last, that sounds like treating the symptom not the underlying cause. That is why I have never been a fan of "bug-driven development" nor of large-scale regression testing. #20 "who draws the lines" is an incredibly important political question. So who makes the declaration that the so-called black box can not or is not to be opened? This was my point. I understand what a black box means in software testing parlance. #31 check out this great article then: https://blogs.msdn.microsoft.com/larryosterman/2004/03/30/on... #51 testing is runnable documentation and sufficiently advanced monitoring, particularly ubiquitous StatsD usage, is indistinguishable in practice from testing, see https://www.youtube.com/watch?v=uSo8i1N18oc #66 I truly do not understand the objection you are making here. If an event goes unobserved and is without impact it is the same as if the event never occurred. #83 no bugs always cluster at the interfaces between components #84 Uh oh. I need to check my math and will respond further in another comment once I do so. Thanks! #93 It's not that testing doesn't help. It's that if you have X amount of testing and you add Y amount of additional testing, THAT is not correlated with better quality. Likewise if for Reasons you do less testing in the future than you do right now, that is not guaranteed to degrade your quality. |
#66 says: "If no one ever finds out about the bug then the bug never existed in the first place."
While the outcome is the same, it doesn't literally mean the bug never existed. The existence of a bug is orthogonal to its discovery. Its discovery does not bring about its existence.
Do you have any data for #93? I'd expect a power log distribution.