Quantitative Evaluation of Software Quality Metrics in Open-Source Projects

被引：32

作者：

Barkmann, Henrike ^{[1
]}

Lincke, Rudiger ^{[1
]}

Lowe, Welf ^{[1
]}

机构：

[1] Vaxjo Univ, Sch Math & Syst Engn, Software Technol Grp, Vaxjo, Sweden

来源：

2009 INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS: WAINA, VOLS 1 AND 2 | 2009年

关键词：

D O I：

10.1109/WAINA.2009.190

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The validation of software quality metrics lacks statistical significance. One reason for this is that the data collection 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 validation of software quality metrics should focus on relevant metrics, i.e., correlated metrics need not to be validated independently Based on our statistical basis, we identify correlation between several metrics from well-known object-oriented metrics suites. Besides, we present early results of typical metrics values and possible thresholds.

引用

页码：1067 / 1072

页数：6

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