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Quantitative Evaluation of Software Quality Metrics in Open-Source Projects

Quantitative Evaluation of Software Quality Metrics in Open-Source Projects,10.1109/WAINA.2009.190,Henrike Barkmann,Rüdiger Lincke,Welf Löwe

Quantitative Evaluation of Software Quality Metrics in Open-Source Projects   (Citations: 5)
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The validation of software quality metrics lacks statisti- cal significance. One reason for this is that the data collec- tion requires quite some effort. To help solve this problem, we develop tools for metrics analysis of a large number of software projects (146 projects with ca. 70.000 classes and interfaces and over 11 million lines of code). Moreover, val- idation of software quality metrics should focus on relevant metrics, i.e., correlated metrics need not to be validated in- dependently. Based on our statistical basis, we identify cor- relation between several metrics from well-known object- oriented metrics suites. Besides, we present early results of typical metrics values and possible thresholds.
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