I believe one good quality of thinkers, engineers, programmers, you name it, is skepticism.
Not taking things for granted allows one to dig deeper, try to understand pros and cons, dive into a detailed level of understanding.
TDD is old enough that you can find online (and physical books even) a myriad of related material, both favoring it and bashing it. I'd say that questioning it is great, whether you are in favor, against or indifferent towards it.
I'd like to share some links I've (re)visited recently:
TDD
The first one is a question, "why does TDD work?", or perhaps it should've been "does TDD work?!?"
I sympathize with this comment (emphasis mine):
TDD is, in my opinion, mainly about ways to make sure you can check parts rather than a big 'all or nothing' at the end. But the adagium of TDD, 'build a test first' is not meant to be 'make a test before you think about what you want to accomplish'. Because thinking of a test IS part of designing. Specifying what you want that exact part to do, is designing. Before you ever start to type, you have already done some designing. (In that way I think the term 'test driven design' is misleadingly implying a oneway path, where it is really a feedback loop).
Good design can come either through picking tests intelligently, or by any other technique... how do you learn and discover good designs? You either learn from existing designs, or you try things out.
I think the former is more effective, and immensely prepares you for the latter.
To a mathematician's mind, I'm speaking to you now, though I see programming are much more than maths, as programming projects are also related to arts, social science, communication, and more...
The way how I learned many topics in maths (and physics, etc): I was taught some theory, and then I did hundreds, perhaps thousands, of exercises. Often an exercise builds up on ideas you've learned in previous challenges. Often a problem is hard enough that you need to be presented with a solution... then you understand it, it makes the problem seem much easier than it originally was. And them you feel empowered to solve similarly tough exercises, and to innovate when faced with the unseen.
The way how I learned many topics in maths (and physics, etc): I was taught some theory, and then I did hundreds, perhaps thousands, of exercises. Often an exercise builds up on ideas you've learned in previous challenges. Often a problem is hard enough that you need to be presented with a solution... then you understand it, it makes the problem seem much easier than it originally was. And them you feel empowered to solve similarly tough exercises, and to innovate when faced with the unseen.
What if TDD doesn't work as in this quote from Peter Norvig:
“Well, the first thing you do is write a test that says I get the right answer at the end,” and then you run it and see that it fails, and then you say, “What do I need next?”—that doesn’t seem like the right way to design something to me. It seems like only if it was so simple that the solution was preordained would that make sense. I think you have to think about it first. You have to say, “What are the pieces? How can I write tests for pieces until I know what some of them are?” And then, once you’ve done that, then it is good discipline to have tests for each of those pieces and to understand well how they interact with each other and the boundary cases and so on. Those should all have tests. But I don’t think you drive the whole design by saying, “This test has failed.”
Indeed. Writing arbitrary tests and making them pass don't take you anywhere.
The second link I share is a good commented example of how it goes when the order of tests in unfavorable and we get stuck. One needs to think. You need to build a baggage, a toolbox, and it takes time ;-)
The second link I share is a good commented example of how it goes when the order of tests in unfavorable and we get stuck. One needs to think. You need to build a baggage, a toolbox, and it takes time ;-)
At all times, let's keep in mind that who drives the show is YOU (by writing tests or anything else).
Like other techniques, TDD doesn't always work, for it depend on individual and collective "talent" to get things done at a certain quality level.
(...) how come it does not always work?
Because testing requires a VERY different mindset than building does. Not every one is able to switch back and from, in fact some people will not be able to build proper tests simply because they cannot set their mind to destroy their creation. This will yield projects with too few tests or tests just enough to reach a target metrics (code coverage comes to mind). They will happy path tests and exception tests but will forget about the corner cases and boundary conditions.
Others will just rely on tests forgoing design partly or altogether. (...)
One positive thing about practicing collectively in a coding dojo is the ability to criticize design decisions, and to share that "baggage" on things that work, and things that doesn't, most often being able to show why it does or doesn't. And, looking from a different perspective, there's space to learn things one would not otherwise think in isolation.
Baby steps
This is notably quite long already... but closing with the third link, here goes something about the "size" of baby steps, something that people being introduced to TDD and baby steps are often asking, when they start to think that one ought to write senseless code when you know an obvious implementation. No, you do not need to write mindless code nor are you supposed to do that.
If you know how to do something, if it is obvious for you and you are comfortable, go ahead and do it. Stay in the flow. Now, when your instincts fail, there is the "fake until you make it" technique to keep you up in the game. Faking endlessly and thoughtlessly will not magically solve the problem for you, but gives you time to observe.
When overconfidence fails you, you can learn to know when to step back.
A whiteboard or a piece a paper, or an interactive interpreter, all might be equally good tools for fostering thinking.
What are other useful techniques for you?
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