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On the Distribution of Software Faults
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSE.2007.70771March/April 2008 (vol. 34 no. 2) pp. 301-302
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Hongyu Zhang, "On the Distribution of Software Faults," IEEE Transactions on Software Engineering, vol. 34, no. 2, pp. 301-302, March/April, 2008.
 
 
BibTex
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@article{ 10.1109/TSE.2007.70771,
author = {Hongyu Zhang},
title = {On the Distribution of Software Faults},
journal ={IEEE Transactions on Software Engineering},
volume = {34},
number = {2},
issn = {0098-5589},
year = {2008},
pages = {301-302},
doi = {http://doi.ieeecomputersociety.org/10.1109/TSE.2007.70771},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Software Engineering
TI - On the Distribution of Software Faults
IS - 2
SN - 0098-5589
SP301
EP302
EPD - 301-302
A1 - Hongyu Zhang,
PY - 2008
KW - Product metrics
KW - Measurement applied to SQA and V&V
VL - 34
JA - IEEE Transactions on Software Engineering
ER -
 
The Pareto principle is often used to describe how faults in large software systems are distributed over modules. A recent paper by Andersson and Runeson again confirmed the Pareto principle of fault distribution. In this paper, we show that the distribution of software faults can be more precisely described as the Weibull distribution.

[1] 301 C. Andersson and P. Runeson, “A Replicated Quantitative Analysis of Fault Distributions in Complex Software Systems,” IEEE Trans. Software Eng., vol. 33, no. 5, pp. 273-286, May 2007.
[2] R. Cooper and A. Weekes, Data, Models, and Statistical Analysis. Philip Allan Publishing, 1983.
[3] N. Fenton and N. Ohlsson, “Quantitative Analysis of Faults and Failures in a Complex Software System,” IEEE Trans. Software Eng., vol. 26, no. 8, pp.797-814, Aug. 2000.
[4] J.M. Juran and F.M. Gryna Jr., Quality Control Handbook, fourth ed. McGraw-Hill, 1988.
[5] G. Keller and B. Warrack, Statistics for Management and Economics. Duxbury, 1999.
[6] R. Ramakumar, Engineering Reliability: Fundamentals and Applications. Prentice Hall, 1993.
[7] T. Zimmermann, R. Premraj, and A. Zeller, “Predicting Defects for Eclipse,” Proc. Third Int'l Workshop Predictor Models in Software Eng., http://www.st.cs.uni-sb.desoftevo/, May 2007.

Index Terms:
Product metrics, Measurement applied to SQA and V&V
Citation:
Hongyu Zhang, "On the Distribution of Software Faults," IEEE Transactions on Software Engineering, vol. 34, no. 2, pp. 301-302, Mar./Apr. 2008, doi:10.1109/TSE.2007.70771
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