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First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study
Madrid, Spain
September 20-September 21
ISBN: 0-7695-2886-4
ASCII Text
x 
 
Nachiappan Nagappan, Thomas Ball, "Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study," Empirical Software Engineering and Measurement, International Symposium on, pp. 364-373, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/ESEM.2007.13,
author = {Nachiappan Nagappan and Thomas Ball},
title = {Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study},
journal ={Empirical Software Engineering and Measurement, International Symposium on},
volume = {0},
year = {2007},
issn = {1938-6451},
pages = {364-373},
doi = {http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Empirical Software Engineering and Measurement, International Symposium on
TI - Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study
SN - 1938-6451
SP364
EP373
A1 - Nachiappan Nagappan,
A1 - Thomas Ball,
PY - 2007
KW - null
VL - 0
JA - Empirical Software Engineering and Measurement, International Symposium on
ER -
 
Nachiappan Nagappan, Microsoft Research, USA
Thomas Ball, Microsoft Research, USA
Commercial software development is a complex task that requires a thorough understanding of the architecture of the software system. We analyze the Windows Server 2003 operating system in order to assess the relationship between its software dependencies, churn measures and post-release failures. Our analysis indicates the ability of software dependencies and churn measures to be efficient predictors of post-release failures. Further, we investigate the relationship between the software dependencies and churn measures and their ability to assess failure-proneness probabilities at statistically significant levels.
Citation:
Nachiappan Nagappan, Thomas Ball, "Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study," esem, pp.364-373, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007
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