Understanding the dynamics of a program can be made easier if dynamic analysis techniques are used. However, the extraordinary size of typical execution traces makes exploring the content of traces a tedious task. In this paper, we present a tool called SEAT (software exploration and analysis tool) that implements several operations that can help software engineers understand the content of a large execution trace. Perhaps, the most powerful aspect of SEAT is the various filtering techniques it incorporates. In our precious work, we showed that these techniques can reduce significantly the size of traces in order to reveal the main content they convey.
['Abdelwahab Hamou-Lhadj', 'Timothy C. Lethbridge', 'Lianjiang Fu']
SEAT: a usable trace analysis tool