Paper Info
Title
Exploratory Analysis of the Relations between Code Cloning and Open Source Software Quality
Abstract
In recent literature there is still a lack of understanding how the reuse and cloning of software affects its quality. The focus of this study is to analyze the relationships between source code cloning and software quality for the case of open source software project forks (SPFs) as a kind of software reuse. In total 117 releases related to three generations of eight eMule SPFs were scrutinized. Software quality was measured in terms of internal quality attributes. The tools CCFinderX and SoftCalc were used to measure code cloning metrics and internal quality attributes, respectively. In total 8 code cloning metrics and 71 internal quality attributes were analyzed. The quantitative relationships between the code cloning metrics and internal quality attributes were identified based on Pearson product moment correlation analysis. Our results revealed a number of important relationships between the metrics under study.
Year
DOI
Venue
2010
10.1109/QUATIC.2010.94
Quality of Information and Communications Technology
Keywords
Field
DocType
internal quality attribute,open source software quality,pearson product moment correlation,software reuse,open source software project,code cloning,source code cloning,recent literature,quantitative relationship,emule spfs,exploratory analysis,important relationship,software quality,source code,software metrics,cloning,correlation,public domain software,measurement
Pearson product-moment correlation coefficient,Software engineering,Systems engineering,Computer science,Reuse,Source code,Software,Software metric,Software quality,Open source software,Database,Public domain software
Conference
ISBN
Citations 
PageRank 
978-0-7695-4241-6
3
0.37
References 
Authors
15
4
Name
Order
Citations
PageRank
Denis Kozlov1504.45
Jussi Koskinen212213.44
Markku Sakkinen324336.29
Jouni Markkula425025.91