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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.

Tip The Oracle data dictionary contains a V$RESERVED_WORDS view. You can check your object names against this view to avoid using reserved words.

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.

4

Be suspicious of classes and routines that have had defects before Classes that have had defects before are likely to continue to have defects. A class that has been troublesome in the past is more likely to contain a new defect than a class that has been defect-free. Re-examine error-prone classes and routines. Check code that s changed recently If you have a new error that s hard to diagnose, it s usually related to code that s changed recently. It could be in completely new code or in changes to old code. If you can t find a defect, run an old version of the program to see whether the error occurs. If it doesn t, you know the error s in the new version or is caused by an interaction with the new version. Scrutinize the differences between the old and new versions. Check the version control log to see what code has changed recently. If that s not possible, use a diff tool to compare changes in the old, working source code to the new, broken source code. Expand the suspicious region of the code It s easy to focus on a small section of code, sure that the defect must be in this section. If you don t find it in the section, consider the possibility that the defect isn t in the section. Expand the area of code you suspect, and then focus on pieces of it using the binary search technique described above.

See Appendix A of this book, and also the Oracle SQL Reference for more details about naming rules for database objects and a more complete listing of SQL reserved words.