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As something concrete so that we don't get lost in abstracts: if you are building an accounting package that needs to calculate a user's tax rate from informati
by zaidf 14y ago
As something concrete so that we don't get lost in abstracts: if you are building an accounting package that needs to calculate a user's tax rate from information pulled from twitter, then having your testers create a framework for testing exact tax rates before the product is complete is folly. You may only be able to generate a 'rough band' of tax rates, and now your whole perfect spec and testing is out of the water as all the values test incorrectly.
There is a specific reason why a QA plan is formalized before development: so that QA tests for client's requirement and not what is developed. Ideally what is developed will be what was needed but it would be foolish to assume that. If the QA was simply QA'ing what was developed, it is assuming that what was developed is what was needed. That is not a safe assumption to make, especially at scale and in enterprise.
You may only be able to generate a 'rough band' of tax rates, and now your whole perfect spec and testing is out of the water as all the values test incorrectly.
I dont quite follow but a QA plan does not need to hard code values. It should have test values where possible - in this case, may be the QA could find a couple of example twitter accounts and what the tax rate info. should be if done right. If you are saying the formula for tax rate may change mid way, that is okay as long as QA is notified. This way the QA and the dev independently do their own calculation and if they do it right, QA's manual calculation should lead to the same answer as when QA uses the functional app to do the calculation.
- RyanZAG 14y agoI agree completely when it comes to enterprise, and your QA team is likely large enough and developed enough to have most of the required infrastructure set up before the product even begins. However, the article seems to be dealing with smaller teams, but in particular it has the product manager actually working with QA to specify the QA plan from the outset himself. Your point about building up a fairly generic testing system right from the start like that seems like a very good idea. Most QA I've worked with hasn't been anywhere near that farsighted and probably where I got that opinion from - seeing QA throw out their hacked together models and hacking up a new model (and stringing together hacked up models...) From experience, I think most companies take the hacked-together route for QA and put their junior recruits in QA. This is probably different in a Fortune 50 company? I've yet to work at one of those...