Paper Info
Title
A Study on Defect Density of Open Source Software
Abstract
Open source software (OSS) development is considered an effective approach to ensuring acceptable levels of software quality. One facet of quality improvement involves the detection of potential relationship between defect density and other open source software metrics. This paper presents an empirical study of the relationship between defect density and download number, software size and developer number as three popular repository metrics. This relationship is explored by examining forty-four randomly selected open source software projects retrieved from SourceForge.net. By applying simple and multiple linear regression analysis, the results reveal a statistically significant relationship between defect density and number of developers and software size jointly. However, despite theoretical expectations, no significant relationship was found between defect density and number of downloads in OSS projects.
Year
DOI
Venue
2010
10.1109/ICIS.2010.11
Computer and Information Science
Keywords
Field
DocType
open source software,developer number,open source software project,open source software metrics,significant relationship,software size,defect density,potential relationship,oss project,software quality,software engineering,multiple linear regression,quality improvement,empirical study,public domain software,statistical significance,software measurement,probability,linear regression,regression analysis,software metrics
Data mining,Computer science,Regression analysis,Software,Software metric,Software quality,Software sizing,Software measurement,Database,Quality management,Open-source software development
Conference
ISBN
Citations 
PageRank 
978-1-4244-8198-9
6
0.47
References 
Authors
5
2
Name
Order
Citations
PageRank
Cobra Rahmani1161.99
Deepak Khazanchi246831.19