Collecting And Categorizing Soft Ware Error Data in An Industrial Environment

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Collecting And Categorizing Soft Ware Error Data in An Industrial Environment
Thomas J Ostrand
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Since some of these a. CitJ. :Vcit'. I€3^ were going on in parallel, this produces a different breakdown of errors than the one in Tables 8 and 9, which is ^ccp-rding to the type of testing which detected the error. There is, however, no apparent increase in difficulty. We intend to continue following the editor during use and maintenance and to watch for such a trend to develop.
6 . Conclus ions The three specific goals mentioned in the Introduction have been partially achieved by this study.
...First, we have studied the occurrence of error types and the difficulty of error correction in relation to distinct steps of the software development process. Some of the unexpected results are that unit testing was very effective in detecting data handling errors, but considerably less effective than function testing in detecting data definition errors and errors involving a test and associated processing. During unit testing, error isolation tended to be more difficult than error fixing, while -25- during function testing this trend reversed and error fixing was more difficult than error isolation.

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