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23. Debugging
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the data at first as long as you keep refining the hypothesis so that it does eventually.
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Refine the test cases that produce the error If you can t find the source of an error, try to refine the test cases further than you already have. You might be able to vary one parameter more than you had assumed, and focusing on one of the parameters might provide the crucial breakthrough. Exercise the code in your unit test suite Defects tend to be easier to find in small fragments of code than in large integrated programs. Use your unit tests to test the code in isolation. Use available tools Numerous tools are available to support debugging sessions: interactive debuggers, picky compilers, memory checkers, and so on. The right tool can make a difficult job easy. With one tough-to-find error, for example, one part of the program was overwriting another part s memory. This error was difficult to diagnose using conventional debugging practices because the programmer couldn t determine the specific point at which the program was incorrectly overwriting memory. The programmer used a memory breakpoint to set a watch on a specific memory address. When the program wrote to that memory location, the debugger stopped the code, and the guilty code was exposed.
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This is an example of problem that s difficult to diagnose analytically but which becomes quite simple when the right tool is applied.
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For more on unit test 2 frameworks, see Plug unit 3 tests into a test framework in Section 22.4.
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Reproduce the error several different ways Sometimes trying cases that are similar to the error-producing case, but not exactly the same, is instructive. Think of this approach as triangulating the defect. If you can get a fix on it from one point and a fix on it from another, you can determine exactly where it is.
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Reproducing the error several different ways helps diagnose the cause of the error. Once you think you ve identified the defect, run a case that s close to the cases that produce errors but that should not produce an error itself. If it does produce an error, you don t completely understand the problem yet. Errors often arise from combinations of factors, and trying to diagnose the problem with only one test case sometimes doesn t diagnose the root problem.
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de Complete
23. Debugging
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Program First test Defect
Program
Defect
Second test
Program
Program Subsequent tests Defect
Defect Third test
F23xx01
Figure 23-1 Try to reproduce an error several different ways to determine its exact cause.
Generate more data to generate more hypotheses Choose test cases that are different from the test cases you already know to be erroneous or correct. Run them to generate more data, and use the new data to add to your list of possible hypotheses. Use the results of negative tests Suppose you create a hypothesis and run a test case to prove it. Suppose the test case disproves the hypothesis, so that you still don t know the source of the error. You still know something you didn t before namely, that the defect is not in the area in which you thought it was. That narrows your search field and the set of possible hypotheses. Brainstorm for possible hypotheses Rather than limiting yourself to the first hypothesis you think of, try to come up with several. Don t analyze them at first just come up with as many as you can in a few minutes. Then look at each hypothesis and think about test cases that would prove or disprove it. This mental exercise is helpful in breaking the debugging logjam that results from concentrating too hard on a single line of reasoning. Narrow the suspicious region of the code If you ve been testing the whole program, or a whole class or routine, test a smaller part instead. Use print statements, logging, or tracing to identify which section of code is producing the error.
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23. Debugging
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If you need a more powerful technique to narrow the suspicious region of the code, systematically remove parts of the program and see whether the error still occurs. If it doesn t, you know it s in the part you took away. If it does, you know it s in the part you ve kept. Rather than removing regions haphazardly, divide and conquer. Use a binary search algorithm to focus your search. Try to remove about half the code the first time. Determine the half the defect is in, and then divide that section. Again, determine which half contains the defect, and again, chop that section in half. Continue until you find the defect. If you use many small routines, you ll be able to chop out sections of code simply by commenting out calls to the routines. Otherwise, you can use comments or preprocessor commands to remove code. If you re using a debugger, you don t necessarily have to remove pieces of code. You can set a breakpoint partway through the program and check for the defect that way instead. If your debugger allows you to skip calls to routines, eliminate suspects by skipping the execution of certain routines and seeing whether the error still occurs. The process with a debugger is otherwise similar to the one in which pieces of a program are physically removed.
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