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METRICS
2005
IEEE

Visualizing Historical Data Using Spectrographs

13 years 9 months ago
Visualizing Historical Data Using Spectrographs
Studying the evolution of long lived processes such as the development history of a software system or the publication history of a research community, requires the analysis of a vast amount of data. Aggregation techniques and data specific techniques are usually used to cope with the large amount of data. In this paper, we introduce a general technique to study historical data derived from tracking the evolution of long lived processes. We present a visualization approach (evolution spectrographs) to assist in identifying interesting patterns and events during evolutionary analysis of such historical data. We demonstrate the usefulness of spectrographs through several case studies. The data for the case studies are derived from the publication history of conferences in the area of software engineering and from the source control of several large open source projects. Our case studies reveal interesting patterns such as the increase of collaboration over time in the area of software ...
Ahmed E. Hassan, Jingwei Wu, Richard C. Holt
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where METRICS
Authors Ahmed E. Hassan, Jingwei Wu, Richard C. Holt
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