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Visualizing Historical Data Using Spectrographs
11th IEEE International Software Metrics Symposium (METRICS'05)
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 (evolutiondoi:10.1109/metrics.2005.54 dblp:conf/metrics/HassanWH05 fatcat:4cyxvhxlyzfdpkypar2gyfanni