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You may have had an experience like this: The software is found to be in error. You have a few immediate hunches about which part of the code might be wrong, but all that code seems to be correct. You run several more test cases to
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0 KEY POINT
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de Complete
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22. Developer Testing
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try to refine the error, but all the new test cases produce correct results. You spend several hours reading and rereading the code and hand-calculating the results. They all check out. After a few more hours, something causes you to reexamine the test data. Eureka! The error s in the test data! How idiotic it feels to waste hours tracking down an error in the test data rather than in the code! This is a common experience. Test cases are often as likely or more likely to contain errors than the code being tested (Weiland 1983, Jones 1986a, Johnson 1994). The reasons are easy to find especially when the developer writes the test cases. Test cases tend to be created on the fly rather than through a careful design and construction process. They are often viewed as one-time tests and are developed with the care commensurate with something to be thrown away. You can do several things to reduce the number of errors in your test cases:
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Check your work Develop test cases as carefully as you develop code. Such care certainly includes double-checking your own testing. Step through test code in a debugger, line by line, just as you would production code. Walkthroughs and inspections of test data are appropriate. Plan test cases as you develop your software Effective planning for testing should start at the requirements stage or as soon as you get the assignment for the program. This helps to avoid test cases that are based on mistaken assumptions. Keep your test cases Spend a little quality time with your test cases. Save them for regression testing and for work on version 2. It s easy to justify the trouble if you know you re going to keep them rather than throw them away. Plug unit tests into a test framework Write code for unit tests first, but integrate them into a system-wide test framework (like JUnit) as you complete each test. Having an integrated test framework prevents the tendency to throw away test cases mentioned above.
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This section surveys the kinds of testing tools you can buy commercially or build yourself. It won t name specific products because they could easily be out of date by the time you read this. Refer to your favorite programmer s magazine for the most recent specifics.
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22. Developer Testing
Page 27
Building Scaffolding to Test Individual Classes
The term scaffolding comes from building construction. Scaffolding is built so that workers can reach parts of a building they couldn t reach otherwise. Software scaffolding is built for the sole purpose of making it easy to exercise code. One kind of scaffolding is a class that s dummied up so that it can be used by another class that s being tested. Such a class is called a mock object or stub object (Mackinnon, Freemand, and Craig 2000; Thomas and Hunt 2002). A similar approach can be used with low-level routines, which are called stub routines. You can make a mock object or stub routines more or less realistic, depending on how much veracity you need. It can Return control immediately, having taken no action Test the data fed to it Print a diagnostic message, perhaps an echo of the input parameters, or log a message to a file Get return values from interactive input Return a standard answer regardless of the input Burn up the number of clock cycles allocated to the real object or routine Function as a slow, fat, simple, or less accurate version of the real object or routine.
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