  This work deals with Workflow Mining (WM) a very active and promising
research area. First, in this paper we give a critical and comparative study of
three representative WM systems of this area: the ProM, InWolve and
WorkflowMiner systems. The comparison is made according to quality criteria
that we have defined such as the capacity to filter and convert a Workflow log,
the capacity to discover workflow perspectives and the capacity to support
Multi-Analysis of processes. The major drawback of these systems is the non
possibility to deal with organizational perspective discovering issue. We mean
by organizational perspective, the organizational structures (federation,
coalition, market or hierarchy) and interaction protocols (contract net,
auction or vote). This paper defends the idea that organizational dimension in
Multi-Agent System is an appropriate approach to support the discovering of
this organizational perspective. Second, the paper proposes a Workflow log
meta-model which extends the classical one by considering the interactions
among actors thanks to the FIPA-ACL Performatives. Third, it describes in
details our DiscopFlow tool which validates our contribution.

Distributed, Parallel, and Cluster Computing