Title | Managing Trace Data volume through a heuristical clustering process based on event execution frequency |
Publication Type | Conference Paper |
Year of Publication | 2004 |
Authors | Zaidman, A, Demeyer S |
Editor | Riva, C |
Conference Name | Proceedings {CSMR}'04 (Euromicro Working Conference on Software Maintenance and Reengineering ) |
Publisher | IEEE Press |
Abstract | To regain architectural insight into a program using dynamic analysis, one of the major stumbling blocks remains the large amount of trace data collected. Therefore, this paper proposes a heuristic which divides the trace data into recurring event clusters. To compose such clusters the Euclidian distance is used as a dissimilarity measure on the frequencies of the events. Manual inspection of these event sequences revealed that the heuristic provides interesting starting points for further examination. |