Integrating PPI Variability in the Context of Customizable Processes by Extending the Business Process Feature Model

While model support concerning the variability and customization of business processes has been studied extensively, related Process Performance Indicators (PPIs) have not been addressed similarly. An approach that helps PPI calculation and promotes reusability in this context is critical for organizations. A fast adaptation of their information system is needed, concerning new clients' requirements, new policies or evaluations of audit entities. Business Process Feature Model (BPFM) is a well-known approach to support process variability by modeling all possible variants and generating process skeleton based on different customizations. However, this approach does not consider the PPI's modeling and calculation variability. In this paper, we will talk about the thesis project concerning the extension of the BPFM approach in order to the integrate PPI variability. We present our first results relying on our experience in a real industrial case; a tree model of PPIs variability linked to the BPFM model facilitating the modeling, the customization and the reasoning about PPIs variants depending on the process customization and PPIs definitions.