6533b7d5fe1ef96bd1263c05

RESEARCH PRODUCT

Exploratory Analysis of the Relations between Code Cloning and Open Source Software Quality

Jussi KoskinenMarkku SakkinenDenis KozlovJouni Markkula

subject

Source codeCloning (programming)DatabaseComputer sciencebusiness.industrymedia_common.quotation_subjectReusecomputer.software_genrePearson product-moment correlation coefficientSoftware qualitySoftware metricsymbols.namesakeSoftwaresymbolsQuality (business)Software engineeringbusinesscomputermedia_common

description

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.

https://doi.org/10.1109/quatic.2010.94