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Please don t confuse this with doing Big Design Up Front (BDUF) which has such a bad reputation in the Agile Development community We re not trying to elaborate the whole design down to classes and algorithms before we start coding Any ideas we have now are likely to be wrong, so we prefer to discover those details as we grow the system We re making the smallest number of decisions we can to kick-start the TDD cycle, to allow us to start learning and improving from real feedback
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We have no guarantees that the decisions we ve taken about the design of our application, or the assumptions on which they re based, are right We do the best we can, but the only thing we can rely on is validating them as soon as possible by building feedback into our process The tools we build to implement the walking skeleton are there to support this learning process Of course, these tools too will not be perfect, and we expect we will improve them incrementally as we learn how well they support the team Our ideal situation is where the team releases regularly to a real production system, as in Figure 43 This allows the system s stakeholders to respond to how well the system meets their needs, at the same time allowing us to judge its implementation
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We use the automation of building and testing to give us feedback on qualities of the system, such as how easily we can cut a version and deploy, how well the design works, and how good the code is The automated deployment helps us release frequently to real users, which gives us feedback on how well we have understood the domain and whether seeing the system in practice has changed our customer s priorities The great bene t is that we will be able to make changes in response to whatever we learn, because writing everything test- rst means that we will have a thorough set of regression tests No tests are perfect, of course, but in practice we ve found that a substantial test suite allows us to make major changes safely
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All this effort means that teams are frequently surprised by the time it takes to get a walking skeleton working, considering that it does hardly anything That s because this rst step involves establishing a lot of infrastructure and asking (and answering) many awkward questions The time to implement the rst few features will be unpredictable as the team discovers more about its requirements and target environment For a new team, this will be compounded by the social stresses of learning how to work together Fred Tingey, a colleague, once observed that incremental development can be disconcerting for teams and management who aren t used to it because it frontloads the stress in a project Projects with late integration start calmly but generally turn dif cult towards the end as the team tries to pull the system together for the rst time Late integration is unpredictable because the team has to assemble a great many moving parts with limited time and budget to x any failures The result is that experienced stakeholders react badly to the instability at the start of an incremental project because they expect that the end of the project will be much worse Our experience is that a well-run incremental development runs in the opposite direction It starts unsettled but then, after a few features have been implemented and the project automation has been built up, settles in to a routine As a project approaches delivery, the end-game should be a steady production of functionality, perhaps with a burst of activity before the rst release All the mundane but brittle tasks, such as deployment and upgrades, will have been automated so that they just work The contrast looks rather like Figure 44 This aspect of test-driven development, like others, may appear counterintuitive, but we ve always found it worth taking enough time to structure and automate the basics of the system or at least a rst cut Of course, we don t want to spend the whole project setting up a perfect walking skeleton, so we limit ourselves to whiteboard-level decisions and reserve the right to change our mind when we have to But the most important thing is to have a sense of direction and a concrete implementation to test our assumptions
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