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If our program runs but does not have the expected or desired behavior then we have a bug a logical error that we must eliminate The best way to eliminate such errors is to prevent them from occurring in the rst place by using TDD (Test Driven Development) However, some bugs will always get through, so even with TDD, debugging is still a necessary skill to learn In this subsection we will outline an approach to debugging based on the scienti c method The approach is explained in suf cient detail that it might appear to be too much work for tackling a simple bug However, by consciously following the process we will avoid wasting time with random debugging, and after awhile we will internalize the process so that we can do it unconsciously, and therefore very quickly To be able to kill a bug we must be able to do the following 1 Reproduce the bug 2 Locate the bug

Figure 534 Pseudocode for the population shuffle loop from the genetic algorithm program GAFORT Int const NPOP // number of chromosomes ("40000) Int const NCHROME // length of each chromosome Real :: tempScalar Array of Real :: temp(NCHROME) Array of Int :: iparent(NCHROME, NPOP) Array of Int :: fitness(NPOP) Int :: j, iother loop [j] over NPOP iother = rand(j) // returns random value greater // than or equal to zero but not // equal to j and less than NPOP // Swap Chromosomes temp(1:NCHROME) = iparent(1:NCHROME, iother) iparent(1:NCHROME, iother) = iparent(1:NCHROME, j)

The ideas used in this subsection were inspired by the Debugging chapter in the book Code Complete by Steve McConnell, ISBN 0735619670

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iparent(1:NCHROME, j) = temp(1:NCHROME) // Swap fitness metrics tempScalar = fitness(iother) fitness(iother) = fitness(j) fitness(j) = tempScalar end loop [j]

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Reproducing the bug is sometimes easy it always occurs on every run; and sometimes hard it occurs intermittently In either case we should try to reduce the bug s dependencies, that is, nd the smallest input and the least amount of processing that can still produce the bug Once we are able to reproduce the bug, we have the data the input data and options, and the incorrect results that are needed so that we can apply the scienti c method to nding and xing it The method has three steps 1 Think up an explanation a hypothesis that reasonably accounts for the bug 2 Create an experiment to test the hypothesis 3 Run the experiment Running the experiment should help to locate the bug, and should also give us insight into its solution (We will return to how to create and run an experiment shortly) Once we have decided how to kill the bug and have checked our code into our version control system so that we can revert the x if necessary we can write the x Once the x is in place we must test it Naturally, we must test to see if the bug it is intended to x has gone away But this is not suf cient; after all, our x may have solved the bug we were concerned about, but the x might also have introduced another bug, one that affects some other aspect of the program So in addition to testing the bug x, we must also run all of the program s tests to increase our con dence that the bug x did not have any unwanted side effects Some bugs have a particular structure, so whenever we x a bug it is always worth asking ourselves if there are other places in the program or its modules that might have similar bugs If there are, we can check to see if we already have tests that would reveal the bugs if they were present, and if not, we should add such tests, and if that reveals bugs, then we must tackle them as described earlier Now that we have a good overview of the debugging process, we will focus in on just how we create and run experiments to test our hypotheses We begin with trying to isolate the bug Depending on the nature of the program and of the bug, we might be able to write tests that exercise the program, for example, feeding it data that is known to be processed correctly and gradually changing the data so that we can nd exactly where processing fails Once we have an idea of where the problem lies either due to testing or based on reasoning we can test our hypotheses.

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