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Bentley, Jon. A Small Matter of Programming in Programming Pearls, 2d. Ed. Boston, Mass.: Addison Wesley, 2000. This essay includes several good examples of test scaffolding. Mackinnon, Tim, Steve Freeman, and Philip Craig. Endo-Testing: Unit Testing with Mock Objects, eXtreme Programming and Flexible Processes Software Engineering - XP2000 Conference, 2000. This is the original paper to discuss the use of mock objects to support developer testing. Thomas, Dave and Andy Hunt. Mock Objects, IEEE Software, May/June 2002. This is a highly readable introduction to using mock objects to support developer testing.
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Beck, Kent. Test Driven Development, Boston, Mass.: Addison Wesley, 2003. Beck describes the ins and outs of test driven development, a development approach that s characterized by writing test cases first, then writing the code to satisfy the test cases. Despite Beck s sometimes-evangelical tone, the advice is
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22. Developer Testing
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Page 36
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sound, and the book is short and to the point. The book has an extensive running example with real code.
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IEEE Std 1008-1987 (R1993), Standard for Software Unit Testing IEEE Std 829-1998, Standard for Software Test Documentation IEEE Std 730-2002, Standard for Software Quality Assurance Plans
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CC2E.COM/ 2210
CHECKLIST: Test Cases
Does each requirement that applies to the class or routine have its own test case Does each element from the design that applies to the class or routine have its own test case Has each line of code been tested with at least one test case Has this been verified by computing the minimum number of tests necessary to exercise each line of code Have all defined-used data-flow paths been tested with at least one test case Has the code been checked for data-flow patterns that are unlikely to be correct, such as defined-defined, defined-exited, and defined-killed Has a list of common errors been used to write test cases to detect errors that have occurred frequently in the past Have all simple boundaries been tested maximum, minimum, and off-byone boundaries Have compound boundaries been tested that is, combinations of input data that might result in a computed variable that s too small or too large Do test cases check for the wrong kind of data for example, a negative number of employees in a payroll program Are representative, middle-of-the-road values tested Is the minimum normal configuration tested Is the maximum normal configuration tested Is compatibility with old data tested And are old hardware, old versions of the operating system, and interfaces with old versions of other software tested Do the test cases make hand-checks easy
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22. Developer Testing
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Key Points
Testing by the developer is a key part of a full testing strategy. Independent testing is also important but is outside the scope of this book. Writing test cases before the code takes the same amount of time and effort as writing the test cases after the code, but it shortens defect-detectiondebug-correction cycles. Even considering the numerous kinds of testing available, testing is only one part of a good software-quality program. High-quality development methods, including minimizing defects in requirements and design, are at least as important. Collaborative development practices are also at least as effective at detecting errors as testing and detect different kinds of errors. You can generate many test cases deterministically using basis testing, dataflow analysis, boundary analysis, classes of bad data, and classes of good data. You can generate additional test cases with error guessing. Errors tend to cluster in a few error-prone classes and routines. Find that error-prone code, redesign it, and rewrite it. Test data tends to have a higher error density than the code being tested. Because hunting for such errors wastes time without improving the code, test-data errors are more aggravating than programming errors. Avoid them by developing your tests as carefully as your code. Automated testing is useful in general and essential for regression testing. In the long run, the best way to improve your testing process is to make it regular, measure it, and use what you learn to improve it.
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