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The shorter average length meant that I could test more files, passwords, end-of-file conditions, odd file lengths, and other circumstances that might produce errors than I could have with uniformly random lengths The results were gratifying After running only about 100 test cases, I found two errors in the program Both arose from special cases that might never have shown up in practice, but they were errors nonetheless, and I was glad to find them After fixing them, I ran the program for weeks, encrypting and decrypting over 100,000 files without an error Given the range in file contents, lengths, and passwords I tested, I could confidently assert that the program was correct Here are the lessons from this story: Properly designed random-data generators can generate unusual combinations of test data that you wouldn t think of Random-data generators can exercise your program more thoroughly than you can.

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zxing/zxing: ZXing ("Zebra Crossing") barcode scanning ... - GitHub
ZXing ("Zebra Crossing") barcode scanning library for Java , Android ... Various code simplifications and plugi… ... The Barcode Scanner app can no longer be published, so it's unlikely any changes will be accepted for it. ... ZXing ("zebra crossing") is an open- source , multi-format 1D/2D barcode image processing library ...

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ZXing ("Zebra Crossing") barcode scanning library for Java , Android - zxing / zxing . ... php-qrcode-detector- decoder , port to PHP. ZXing Delphi, Port to native ...

Creating the Array................................................................................................................................. 331 Populating the Array with Values ......................................................................................................... 333 Querying Array Columns....................................................................................................................... 334

You can refine randomly generated test cases over time so that they emphasize a realistic range of input This concentrates testing in the areas most likely to be exercised by users, maximizing reliability in those areas Modular design pays off during testing I was able to pull out the encryption and decryption code and use it independently of the user-interface code, making the job of writing a test driver straightforward You can reuse a test driver if the code it tests ever has to be changed Once I had corrected the two early errors, I was able to start retesting immediately..

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Karl Wiegers reports that testing done without measuring code coverage typically exercises only about 50-60% of the code (Wiegers 2002). A coverage monitor is a tool that keeps track of the code that s exercised and the code that isn t. A coverage monitor is especially useful for systematic testing because it tells you whether a set of test cases fully exercises the code. If you run your full set of test cases and the coverage monitor indicates that some code still hasn t been executed, you know that you need more tests.

12.3 Nested Tables ........................................................................................................336

Some tools can monitor your program and collect information on the program s state in the event of a failure similar to the black box that airplanes use to diagnose crash results. You can build your own data recorder by logging significant events to a file. This functionality can be compiled in to the development version of the code and compiled out of the released version.

The availability of debuggers varies according to the maturity of the technology environment. For more on this phenomenon, see Section 4.3, Your Location on the Technology Wave.

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