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Note: Metrics evaluate the quality of software by analyzing the program source and quantifying various kind of complexity. Complexity is a common source of problems and defects in software. High complexity makes it more difficult to develop, understand, maintain, extend, test and debug a program. The primary use of metrics is to focus your attention on those parts of code that potentially are complexity hot spots. Once the complex areas your program have been uncovered, you can take remedial actions. For additional information about metrics and their meaning, please consult Metamata Metrics manual. |
Note: Metrics evaluate the quality of software by analyzing the program source and quantifying various kind of complexity. Complexity is a common source of problems and defects in software. High complexity makes it more difficult to develop, understand, maintain, extend, test and debug a program. The primary use of metrics is to focus your attention on those parts of code that potentially are complexity hot spots. Once the complex areas your program have been uncovered, you can take remedial actions. For additional information about metrics and their meaning, please consult Metamata Metrics manual. |
Source Code Metrics |
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Designed for use with Webgain QA/Metamata Metrics and Ant. |
Copyright © 1999-2001, Apache Software Foundation
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