Paper Info
Title
On the Distribution of Bugs in the Eclipse System
Abstract
The distribution of bugs in software systems has been shown to satisfy the Pareto principle, and typically shows a power-law tail when analyzed as a rank-frequency plot. In a recent paper, Zhang showed that the Weibull cumulative distribution is a very good fit for the Alberg diagram of bugs built with experimental data. In this paper, we further discuss the subject from a statistical perspective, using as case studies five versions of Eclipse, to show how log-normal, Double-Pareto, and Yule-Simon distributions may fit the bug distribution at least as well as the Weibull distribution. In particular, we show how some of these alternative distributions provide both a superior fit to empirical data and a theoretical motivation to be used for modeling the bug generation process. While our results have been obtained on Eclipse, we believe that these models, in particular the Yule-Simon one, can generalize to other software systems.
Year
DOI
Venue
2011
10.1109/TSE.2011.54
Software Engineering, IEEE Transactions
Keywords
Field
DocType
Pareto analysis,Weibull distribution,eclipses,Pareto principle,Weibull cumulative distribution,eclipse system,software systems,statistical perspective,Software bug distribution,empirical research,object-oriented systems.
Data mining,Data modeling,Computer science,Software bug,Weibull distribution,Theoretical computer science,Software system,Cumulative distribution function,Eclipse,Pareto analysis,Pareto principle
Journal
Volume
Issue
ISSN
37
6
0098-5589
Citations 
PageRank 
References 
19
0.84
8
Authors
4
Name
Order
Citations
PageRank
Concas, G.1191.18
M. Marchesi216991.06
A. Murgia3302.27
R. Tonelli423718.42