Last updated on Monday, October 06, 2025
@inproceedings{ZaidmanCSMR04,
author = {Andy Zaidman and Serge Demeyer},
booktitle = {Proceedings {CSMR}'04 (Euromicro Working Conference
on Software Maintenance and Reengineering )},
editor = {Claudio Riva},
note = {Acceptance ratio: 33/62 = 52\%},
pages = {329-338},
publisher = {{IEEE} Press},
title = {Managing Trace Data volume through a heuristical
clustering process based on event execution
frequency},
year = {2004},
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.},
annote = {internationalconference},
}