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22.7 Keeping Test Records
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Aside from making the testing process repeatable, you need to measure the project so that you can tell for sure whether changes improve or damage it. Here are a few kinds of data you can collect to measure your project: Administrative description of the defect (the date reported, the person who reported it, a title or description, the date fixed) Full description of the problem Steps to take to repeat the problem Suggested workaround for the problem Related defects Severity of the problem for example, fatal, bothersome, or cosmetic Origin of the defect requirements, design, coding, or testing Subclassification of a coding defect off-by-one, bad assignment, bad array index, bad routine call, and so on Location of the fix for the defect Classes and routines changed by the fix
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7 KEY POINT
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22. Developer Testing
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Person responsible for the defect (this can be controversial and might be bad for morale) Lines of code affected by the defect Hours to find the defect Hours to fix the defect
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Once you collect the data, you can crunch a few numbers to determine whether your project is getting sicker or healthier: Number of defects in each class, sorted from worst class to best Number of defects in each routine, sorted from worst routine to best Average number of testing hours per defect found Average number of defects found per test case Average number of programming hours per defect fixed Percentage of code covered by test cases Number of outstanding defects in each severity classification
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In addition to project-level test records, you might find it useful to keep track of your personal test records. These records can include both a checklist of the errors you most commonly make as well as a record of the amount of time you spend writing code, testing code, and correcting errors.
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Additional Resources
Federal truth-in-advising statutes compel me to disclose that several other books cover testing in more depth than this chapter does. Books that are devoted to testing discuss system and black box testing, which haven t been discussed in this chapter. They also go into more depth on developer topics. They discuss formal approaches such as cause-effect graphing and the ins and outs of establishing an independent test organization.
Testing
Kaner, Cem, Jack Falk, and Hung Q. Nguyen. Testing Computer Software, 2d Ed., New York: John Wiley & Sons, 1999. This is probably the best current book on software testing. It is most applicable to testing applications that will be distributed to a widespread customer base, such as high-volume websites and shrink-wrap applications, but it is also generally useful.
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22. Developer Testing
Page 35
Kaner, Cem, James Bach, and Bret Pettichord. Lessons Learned in Software Testing, New York: John Wiley & Sons, 2002. This book is a good supplement to Testing Computer Software, 2d. Ed. It s organized into 11 chapters that enumerate 250 lessons learned by the authors. Tamre, Louise. Introducing Software Testing, Boston, Mass.: Addison Wesley, 2002. This is an accessible testing book targeted at developers who need to understand testing. Belying the title, the book goes into some depth on testing details that are useful even to experienced testers. Whittaker, James A. What Is Software Testing And Why Is It So Hard IEEE Software, January 2000, pp. 70-79. This article is a good introduction to software testing issues and explains some of the challenges associated with effectively testing software. Myers, Glenford J. The Art of Software Testing. New York: John Wiley, 1979. This is the classic book on software testing and is still in print (though quite expensive). The contents of the book are straightforward: A Self-Assessment Test; The Psychology and Economics of Program Testing; Program Inspections, Walkthroughs, and Reviews; Test-Case Design; Class Testing; Higher-Order Testing; Debugging; Test Tools and Other Techniques. It s short (177 pages) and readable. The quiz at the beginning gets you started thinking like a tester and demonstrates how many ways there are to break a piece of code.
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