Predicting defects using network analysis on dependency graphs

13 years 4 months ago
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In order to allocate resources effectively, managers need to rely on their experience backed by code complexity metrics. But often dependencies exist between various pieces of code over which managers may have little knowledge. These dependencies can be construed as a low level graph of the entire system. In this paper, we propose to use network analysis on these dependency graphs. This allows managers to identify central program units that are more likely to face defects. In our evaluation on Windows Server 2003, we found that the recall for models built from network measures is by 10% points higher than for models built from complexity metrics. In addition, network measures could identify 60% of the binaries that the Windows developers considered as critical--twice as many as identified by complexity metrics. Categories and Subject Descriptors D.2.8 [Software Engineering]: Metrics--Performance ...
Thomas Zimmermann, Nachiappan Nagappan
Added 17 Nov 2009
Updated 09 Dec 2009
Type Conference
Year 2008
Where ICSE
Authors Thomas Zimmermann, Nachiappan Nagappan
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