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23. Debugging
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Initiate project wide standards for compile-time settings Set a standard that requires everyone on your team to compile code using the same compiler settings. Otherwise, when you try to integrate code compiled by different people with different settings, you ll get a flood of error messages and an integration nightmare.
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You can use additional tools to check your code more thoroughly than your compiler does. For example, for C programmers, the lint utility painstakingly checks for use of uninitialized variables, writing = when you mean = =, and similarly subtle problems.
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Execution Profiler
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You might not think of an execution profiler as a debugging tool, but a few minutes spent studying a program profile can uncover some surprising (and hidden) defects. For example, I had suspected that a memory-management routine in one of my programs was a performance bottleneck. Memory management had originally been a small component using a linearly ordered array of pointers to memory. I replaced the linearly ordered array with a hash table in the expectation that execution time would drop by at least half. But after profiling the code, I found no change in performance at all. I examined the code more closely and found a defect that was wasting a huge amount of time in the allocation algorithm. The bottleneck hadn t been the linear-search technique; it was the defect. I hadn t needed to optimize the search after all. Examine the output of an execution profiler to satisfy yourself that your program spends a reasonable amount of time in each area.
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As mentioned in Section 23.2 on finding defects, pulling out a troublesome piece of code, writing code to test it, and executing it by itself is often the most effective way to exorcise the demons from an error-prone program.
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For details on scaffolding, see 3 Building Scaffolding to Test 4 Individual Classes in Section 22.5.
2 CROSS-REFERENCE
Debugger
Commercially available debuggers have advanced steadily over the years, and the capabilities available today can change the way you program. Good debuggers allow you to set breakpoints to break when execution reaches a specific line, or the nth time it reaches a specific line, or when a global variable changes, or when a variable is assigned a specific value. They allow you to step
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23. Debugging
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through code line by line, stepping through or over routines. They allow the program to be executed backwards, stepping back to the point where a defect originated. They allow you to log the execution of specific statements similar to scattering I m here! print statements throughout a program. Good debuggers allow full examination of data, including structured and dynamically allocated data. They make it easy to view the contents of a linked list of pointers or a dynamically allocated array. They re intelligent about userdefined data types. They allow you to make ad hoc queries about data, assign new values, and continue program execution. You can look at the high-level language or the assembly language generated by your compiler. If you re using several languages, the debugger automatically displays the correct language for each section of code. You can look at a chain of calls to routines and quickly view the source code of any routine. You can change parameters to a program within the debugger environment. The best of today s debuggers also remember debugging parameters (breakpoints, variables being watched, and so on) for each individual program so that you don t have to re-create them for each program you debug. System debuggers operate at the systems level rather than the applications level so that they don t interfere with the execution of the program being debugged. They re essential when you are debugging programs that are sensitive to timing or the amount of memory available.
An interactive debugger is an outstanding example of what is not needed it encourages trial-and-error hacking rather than systematic design, and also hides marginal people barely qualified for precision programming. Harlan Mills
Given the enormous power offered by modern debuggers, you might be surprised that anyone would criticize them. But some of the most respected people in computer science recommend not using them. They recommend using your brain and avoiding debugging tools altogether. Their argument is that debugging tools are a crutch and that you find problems faster by thinking about them than by relying on tools. They argue that you, rather than the debugger, should mentally execute the program to flush out defects. Regardless of the empirical evidence, the basic argument against debuggers isn t valid. The fact that a tool can be misused doesn t imply that it should be rejected. You wouldn t avoid taking aspirin merely because it s possible to overdose. You wouldn t avoid mowing your lawn with a power mower just because it s possible to cut yourself. Any other powerful tool can be used or abused, and so can a debugger. The debugger isn t a substitute for good thinking. But, in some cases, thinking isn t a substitute for a good debugger either. The most effective combination is good thinking and a good debugger.
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