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2009 International Conference on Advanced Information Networking and Applications Workshops
Quantitative Evaluation of Software Quality Metrics in Open-Source Projects
Bradford, United Kingdom
May 26-May 29
ISBN: 978-0-7695-3639-2
ASCII Text
x 
 
Henrike Barkmann, Rüdiger Lincke, Welf Löwe, "Quantitative Evaluation of Software Quality Metrics in Open-Source Projects," Advanced Information Networking and Applications Workshops, International Conference on, pp. 1067-1072, 2009 International Conference on Advanced Information Networking and Applications Workshops, 2009.
 
 
BibTex
x
 
@article{ 10.1109/WAINA.2009.190,
author = {Henrike Barkmann and Rüdiger Lincke and Welf Löwe},
title = {Quantitative Evaluation of Software Quality Metrics in Open-Source Projects},
journal ={Advanced Information Networking and Applications Workshops, International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3639-2},
pages = {1067-1072},
doi = {http://doi.ieeecomputersociety.org/10.1109/WAINA.2009.190},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications Workshops, International Conference on
TI - Quantitative Evaluation of Software Quality Metrics in Open-Source Projects
SN - 978-0-7695-3639-2
SP1067
EP1072
A1 - Henrike Barkmann,
A1 - Rüdiger Lincke,
A1 - Welf Löwe,
PY - 2009
VL - 0
JA - Advanced Information Networking and Applications Workshops, International Conference on
ER -
 
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.
Citation:
Henrike Barkmann, Rüdiger Lincke, Welf Löwe, "Quantitative Evaluation of Software Quality Metrics in Open-Source Projects," waina, pp.1067-1072, 2009 International Conference on Advanced Information Networking and Applications Workshops, 2009
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