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When trying to reverse engineer software, execution trace analysis is increasingly used. Though, by using this technique we are quickly faced with an enormous amount of data that we must process. While many solutions have been proposed that consist of summarizing, filtering or compressing the trace, the lossless techniques are seldom able to cope with millions of events. Then, we developed a dynamic clustering technique, based on the segmentation of the execution trace that can losslesslydoi:10.1145/1506216.1506228 dblp:conf/indiaSE/DugerdilJ09 fatcat:sxxieglerzbtro6qc3k5atg3im