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34. Themes in Software Craftsmanship
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Figure 34-2 Iteration helps improve requirements, planning, design, code quality, and performance.
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Reviews cut across the grain of the development process, inserting iterations at any stage in which they re conducted. The purpose of a review is to check the quality of the work at a particular point. If the product fails the review, it s sent back for rework. If it succeeds, it doesn t need further iteration. When you take iteration to the extreme, you get Fred Brooks s advice: Build one to throw away; you will, anyhow (Brooks 1995). One definition of engineering is to do for a dime what anyone can do for a dollar. Throwing a whole system away is doing for two dollars what anyone can do for one dollar. The trick of software engineering is to build the disposable version as quickly and inexpensively as possible, which is the point of iterating in the early stages.
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34.9 Thou Shalt Rend Software and Religion Asunder
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Religion appears in software development in numerous incarnations as dogmatic adherence to a single design method, as unswerving belief in a specific formatting or commenting style, as a zealous avoidance of global data. It s always inappropriate.
Software Oracles
Unfortunately, the religious attitude is decreed from on high by some of the more prominent people in the profession. It s important to publicize innovations so that practitioners can try out promising new methods. Methods have to be tried before they can be fully proven or disproved. The dissemination of research results to practitioners is called technology transfer and is important for advancing the state of the practice of software development. There s a
For details on handling 2 programming religion as a 3 manager, see Religious 4 Issues in Section 28.5.
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34. Themes in Software Craftsmanship
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difference, however, between disseminating a new methodology and selling software snake oil. The idea of technology transfer is poorly served by dogmatic methodology peddlers who try to convince you that their new one-size-fits-all, high-tech cow pies will solve all your problems. Forget everything you ve already learned because this new method is so great it will improve your productivity 100 percent in everything! Rather than latching on to the latest miracle fad, use a mixture of methods. Experiment with the exciting, recent methods, but bank on the old and dependable ones.
Eclecticism
For more on the difference between algorithmic and heuristic approaches, see Section 2.2, How to Use Software Metaphors. For information on eclecticism in design, see Iterate in Section 5.4.
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Blind faith in one method precludes the selectivity you need if you re to find the most effective solutions to programming problems. If software development were a deterministic, algorithmic process, you could follow a rigid methodology to your solution. Software development isn t a deterministic process, however. It s heuristic which means that rigid processes are inappropriate and have little hope of success. In design, for example, sometimes top-down decomposition works well. Sometimes an object-oriented approach, a bottom-up composition, or a data-structure approach works better. You have to be willing to try several approaches, knowing that some will fail and some will succeed but not knowing which ones will work until after you try them. You have to be eclectic. Adherence to a single method is also harmful in that it makes you force-fit the problem to the solution. If you decide on the solution method before you fully understand the problem, you act prematurely. You over-constrain the set of possible solutions, and you might rule out the most effective solution. You ll be uncomfortable with any new methodology initially, and the advice that you avoid religion in programming isn t meant to suggest that you should stop using a new method as soon as you have a little trouble solving a problem with it. Give the new method a fair shake, but give the old methods their fair shakes too.
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