Title :
Quantitative Evaluation of Software Quality Metrics in Open-Source Projects
Author :
Barkmann, Henrike ; Lincke, Rüdiger ; Lowe, Welf
Author_Institution :
Software Technol. Group, Vaxjo Univ., Vaxjo
Abstract :
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.
Keywords :
object-oriented programming; program verification; public domain software; software metrics; software quality; statistical analysis; data collection; object-oriented metrics; open-source project; software quality metrics; software validation; statistical significance; Application software; Databases; Mathematics; Open source software; Quality management; Software maintenance; Software metrics; Software quality; Software tools; Systems engineering and theory;
Conference_Titel :
Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-3999-7
Electronic_ISBN :
978-0-7695-3639-2
DOI :
10.1109/WAINA.2009.190