Cyclomatic Complexity Metrics Revisited An Empirical Study of Software Develop
Cyclomatic Complexity Metrics Revisited An Empirical Study of Software Develop
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In our eReader you can find the full English version of the book. Read Cyclomatic Complexity Metrics Revisited An Empirical Study of Software Develop Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Cyclomatic Complexity Metrics Revisited An Empirical Study of Software Develop
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11 0. 11 CMAXDENS 0. 12 0. 11 Table 4J. 1: Comparison of FORTRAN and Pascal Average Complexity Density No statistical difference between the means of the modules from the different languages was found. These results show that there is little difference that can be attributed to the different languages, at least for the data in this sample. It is also an indication of the general robustness of the complexity density metric.
The value of such a complexity metric lies in whether it can predict how... difficult a piece of software will be to maintain. Such a prediction can be used either in estimating resources required, or in trying to restructure the code so that the maintainability is improved. The current best measure of maintainability is the productivity of the maintenance project on a piece of software. In order to test the complexity density metric, its average value was computer for seven application systems before the were maintained. Logically, this initial (pre-maintenance) complexity density should only affect those phases that are directly related to maintaining the code.
What to read after Cyclomatic Complexity Metrics Revisited An Empirical Study of Software Develop?
You can find similar books in the "Read Also" column, or choose other free books by Geoffrey K Geoffrey Karl Gill to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
11 0. 11 CMAXDENS 0. 12 0. 11 Table 4J. 1: Comparison of FORTRAN and Pascal Average Complexity Density No statistical difference between the means of the modules from the different languages was found. These results show that there is little difference that can be attributed to the different languages, at least for the data in this sample. It is also an indication of the general robustness of the complexity density metric.
The value of such a complexity metric lies in whether it can predict how... difficult a piece of software will be to maintain. Such a prediction can be used either in estimating resources required, or in trying to restructure the code so that the maintainability is improved. The current best measure of maintainability is the productivity of the maintenance project on a piece of software. In order to test the complexity density metric, its average value was computer for seven application systems before the were maintained. Logically, this initial (pre-maintenance) complexity density should only affect those phases that are directly related to maintaining the code.
What to read after Cyclomatic Complexity Metrics Revisited An Empirical Study of Software Develop?
You can find similar books in the "Read Also" column, or choose other free books by Geoffrey K Geoffrey Karl Gill to read onlineMoreLess
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