Applying social network analysis to the information in CVS repositories
作者： Luis Lopez-Fernandez , Gregorio Robles , Jesus M Gonzalez-Barahona
DOI: 10.1049/IC:20040485
关键词: Social network analysis 、 Network architecture 、 Organizational network analysis 、 Structure (mathematical logic) 、 Set (abstract data type) 、 Software 、 Network simulation 、 Social software engineering 、 Software engineering 、 Computer science 、 Data science
摘要: The huge quantities of data available in the CVS repositories large, long-lived libre (free, open source) software projects, and many interrelationships among those offer opportunities for extracting large amounts valuable information about their structure, evolution internal processes. Unfortunately, sheer volume that renders it almost unusable without applying methodologies which highlight relevant a given aspect project. In this paper, we propose use well known set (social network analysis) characterizing over time structure. addition, show how have applied such to real cases, extract some preliminary conclusions from experience.
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