@conference {ZaidmanCSMR04,
	title = {Managing Trace Data volume through a heuristical clustering process based on event execution frequency},
	booktitle = {Proceedings {CSMR}{\textquoteright}04 (Euromicro Working Conference on Software Maintenance and Reengineering )},
	year = {2004},
	note = {[Acceptance ratio: 33/62 = 52\%]},
	pages = {329-338},
	publisher = {IEEE Press},
	organization = {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.},
	author = {Andy Zaidman and Serge Demeyer},
	editor = {Claudio Riva}
}
