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Conventions add predictability to low-level tasks. Having conventional ways of handling memory requests, error processing, input/output, and class interfaces adds a meaningful structure to your code and makes it easier for another programmer to figure out as long as the programmer knows your conventions. As mentioned in an earlier chapter, one of the biggest benefits of eliminating global data is that you eliminate potential interactions among different classes and subsystems. A reader knows roughly what to expect from local and class data. But it s hard to tell when changing global data will break some bit of code four subsystems away. Global data increases the reader s uncertainty. With good conventions, you and your readers can take more for granted. The amount of detail that has to be assimilated will be reduced, and that in turn will improve program comprehension. Conventions can compensate for language weaknesses. In languages that don t support named constants (like Python, Perl, Unix shell script, and so on), a convention can differentiate between variables intended to be both read and written and those that are intended to emulate read-only constants. Conventions for the disciplined use of global data and pointers are other examples of compensating for language weaknesses with conventions. Programmers on large projects sometimes go overboard with conventions. They establish so many standards and guidelines that remembering them becomes a full-time job. But programmers on small projects tend to go underboard, not realizing the full benefits of intelligently conceived conventions. Understand their real value and take advantage of them. Use them to provide structure in areas in which structure is needed.
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34.6 Program in Terms of the Problem Domain
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Another specific method of dealing with complexity is to work at the highest possible level of abstraction. One way of working at a high level of abstraction is to work in terms of the programming problem rather than the computer-science solution. Top-level code shouldn t be filled with details about files and stacks and queues and arrays and characters whose parents couldn t think of better names for them than i, j, and k. Top-level code should describe the problem that s being solved. It should be packed with descriptive class names and routine calls that indicate exactly what the program is doing, not cluttered with details about opening a file as read only. Top-level code shouldn t contain clumps of comments that say i
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is a variable that represents the index of the record from the employee file here, and then a little later it s used to index the client account file there... That s clumsy programming practice. At the top level of the program, you don t need to know that the employee data comes as records or that it s stored as a file. Information at that level of detail should be hidden. At the highest level, you shouldn t have any idea how the data is stored. Nor do you need to read a comment that explains what i means and that it s used for two purposes. You should see a variable named something like employeeIndex so that you don t need a verbose comment about i. If i has been used for two purposes, you should see different variable names for the two purposes instead, and they should also have distinctive names such as employeeIndex and clientIndex.
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Separating a Program into Levels of Abstraction
Obviously, you have to work in implementation-level terms at some level, but you can isolate the part of the program that works in implementation-level terms from the part that works in problem-domain terms. If you re designing a program, consider these levels of abstraction:
4 High-level problem-domain terms 3 Low-level problem-domain terms 2 Computer-science structures 1 Programming language tools and structures 0 Operating-system operations and machine instructions
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