Title
Modeling Library Dependencies and Updates in Large Software Repository Universes.
Abstract
Popular (re)use of third-party open-source software (OSS) is evidence of the impact of hosting repositories like maven on software development today. Updating libraries is crucial, with recent studies highlighting the associated vulnerabilities with aging OSS libraries. The decision to migrate to a newer library can range from trivial (security threat) to complex (assessment of work required to accommodate the changes). By leveraging the `wisdom of the software repository crowdu0027 we propose a simple and efficient approach to recommending `consentedu0027 library updates. Our Software Universe Graph (SUG) models library dependency and update information mined from super repositories to provide different metrics and visualizations that aid in the update decision. To evaluate, we first constructed a SUG from 188,951 nodes of 6,374 maven unique artifacts. Then, we demonstrate how our metrics and visualizations are applied through real-world examples. As an extension, we show how the SUG can compare dependencies between different super repositories. From a sample of 100 GitHub applications, our method found that on average 79% similar overlapping dependencies combinations exist between the maven and github super repository universes.
Year
Venue
Field
2017
arXiv: Software Engineering
Graph,World Wide Web,Software repository,Computer science,Software,Software development
DocType
Volume
Citations 
Journal
abs/1709.04626
1
PageRank 
References 
Authors
0.38
18
5
Name
Order
Citations
PageRank
Raula Gaikovina Kula126425.82
Coen De Roover217036.74
Daniel M. German3139279.39
Takashi Ishio421128.48
Katsuro Inoue52424172.31