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MYTH: A WELL-MANAGED SOFTWARE PROJECT conducts methodical requirements development and defines a stable list of the program s responsibilities. Design follows requirements, and it is done carefully so that coding can proceed linearly, from start to finish, implying that most of the code can be written once, tested, and forgotten. According to the myth, the only time that the code is significantly modified is during the software-maintenance phase, something that happens only after the initial version of a system has been delivered.

If you have an edition of Visual Studio 2010 that includes Code Analysis, using it is straightforward. Go to your project s properties, click the Code Analysis tab, and select the Enable Code Analysis on Build check box (see figure 8.2).

I try to avoid making any of these members protected or internal, as this would be exposing my type to some potential vulnerability However, I would sooner make a member protected or internal than I would make a member virtual because a virtual member gives up a lot of control and really relies on the proper behavior of the derived class There is an old OOP adage that goes like this: when things get too complicated, make more types When an implementation of some algorithm starts to get complicated, I define helper types that encapsulate discrete pieces of functionality If I m defining.

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Reality: Code evolves substantially during its initial development. Many of the changes seen during initial coding are at least as dramatic as changes seen during maintenance. Coding, debugging, and unit testing consume between 30 to 65 percent of the effort on a typical project, depending on the project s size. (See 27, How Program Size Affects Construction, for details.) If coding and unit testing were straightforward processes, they would consume no more than 20-30 percent of the total effort on a project. Even on well-managed projects, however, requirements change by about one to four percent per month (Jones 2000). Requirements changes invariably cause corresponding code changes sometimes substantial code changes. Another Reality: Modern development practices increase the potential for code changes during construction. In older life cycles, the focus successful or not was on avoiding code changes. More modern approaches move away from coding predictability. Current approaches are more code-centered, and over the life of a project, you can expect code to evolve more than ever.

these helper types for use by a single ber-type, I ll define the helper types nested within the ber-type . This allows for scoping and also allows the code in the nested, helper type to reference the private members defined in the ber-type . However, there is a design guideline rule, enforced by the Code Analysis tool (FxCopCmd .exe) in Visual Studio, which indicates that publicly exposed nested types should be defined at file or assembly scope and not be defined within another type . This rule exists because some developers find the syntax for referencing nested types cumbersome . I appreciate this rule, and I never define public nested types .

Software evolution is like biological evolution in that some mutations are beneficial and many mutations are not. Good software evolution produces code whose development mimics the ascent from monkeys to Neanderthals to our current exalted state as software developers. Evolutionary forces sometimes beat on a program the other way, however, knocking the program into a deevolutionary spiral. The key distinction between kinds of software evolution is whether the program s quality improves or degrades under modification. If you fix errors with logical duct tape and superstition, quality degrades. If you treat modifications as opportunities to tighten up the original design of the program, quality improves. If you see that program quality is degrading, that s like a canary in a mine shaft that has stopped singing. It s a warning that the program is evolving in the wrong direction. A second distinction in the kinds of software evolution is the one between changes made during construction and those made during maintenance. These two kinds of evolution differ in several ways. Construction changes are usually made by the original developers, usually before the program has been completely forgotten. The system isn t yet on line, so the pressure to finish changes is only schedule pressure it s not 500 angry users wondering why their system is down. For the same reason, changes during construction can be more freewheeling the system is in a more dynamic state, and the penalty for making

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