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34. Themes in Software Craftsmanship
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classes are too interdependent, that s another warning sign that the classes are coupled too tightly. When you re deep into a program, pay attention to warning signs that indicate that part of the program design isn t defined well enough to code. Difficulties in writing comments, naming variables, and decomposing the problem into cohesive classes with clear interfaces all indicate that you need to think harder about the design before coding. Wishy-washy names and difficulty in describing sections of code in concise comments are other signs of trouble. When the design is clear in your mind, the low-level details come easily. Be sensitive to indications that your program is hard to understand. Any discomfort is a clue. If it s hard for you, it will be even harder for the next programmers. They ll appreciate the extra effort you make to improve it. If you re figuring out code instead of reading it, it s too complicated. If it s hard, it s wrong. Make it simpler. If you want to take full advantage of warning signs, program in such a way that you create your own warnings. This is useful because even after you know what the signs are, it s surprisingly easy to overlook them. Glenford Myers conducted a study of defect correction in which he found that the single most common cause of not finding errors was simply overlooking them. The errors were visible on test output but not noticed (Myers 1978b). Make it hard to overlook problems in your program. One example is setting pointers to NULL after you free them so that they ll cause ugly problems if you mistakenly use one. A freed pointer might point to a valid memory location even after it s been freed. Setting it to NULL guarantees that it points to an invalid location, making the error harder to overlook. Compiler warnings are literal warning signs that are often overlooked. If your program generates warnings or errors, fix it so that it doesn t. You don t have much chance of noticing subtle warning signs when you re ignoring those that have WARNING printed directly on them. Why is paying attention to intellectual warning signs especially important in software development The quality of the thinking that goes into a program largely determines the quality of the program, so paying attention to warnings about the quality of thinking directly affects the final product.
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34.8 Iterate, Repeatedly, Again and Again
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Iteration is appropriate for many software-development activities. During your initial specification of a system, you work with the user through several versions of requirements until you re sure you agree on them. That s an iterative process. When you build flexibility into your process by building and delivering a system in several increments, that s an iterative process. If you use prototyping to develop several alternative solutions quickly and cheaply before crafting the final product, that s another form of iteration. Iterating on requirements is perhaps as important as any other aspect of the software development process. Projects fail because they commit themselves to a solution before exploring alternatives. Iteration provides a way to learn about a product before you build it. As 28 on managing construction points out, during initial project planning, schedule estimates can vary greatly depending on the estimation technique you use. Using an iterative approach for estimation produces a more accurate estimate than relying on a single technique. Software design is a heuristic process and, like all heuristic processes, is subject to iterative revision and improvement. Software tends to be validated rather than proven, which means that it s tested and developed iteratively until it answers questions correctly. Both high-level and low-level design attempts should be repeated. A first attempt might produce a solution that works, but it s unlikely to produce the best solution. Taking several repeated and different approaches produces insight into the problem that s unlikely with a single approach. The idea of iteration appears again in code tuning. Once the software is operational, you can rewrite small parts of it to greatly improve overall system performance. Many of the attempts at optimization, however, hurt the code more than they help it. It s not an intuitive process, and some techniques that seem likely to make a system smaller and faster actually make it larger and slower. The uncertainty about the effect of any optimization technique creates a need for tuning, measuring, and tuning again. If a bottleneck is critical to system performance, you can tune the code several times, and several of your later attempts may be more successful than your first.
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