Graphical System for optimized Dynamic Adaptation of Process Models with Rules Management

Abstract

Many researches and studies attempted to handle dynamically process model deviations by providing an adequate process model in order to decrease the cost of the process change (ability to react to internal and external changes). Collecting the process model variants and learning from the changes applied in the past provide a set of data that allows handling the activities by considering some properties to ensure that critical constraints are realized. The goal is avoiding cost/schedule overrun and replacing the whole missing sub-activities: Considering the criticality of the activities, their order and their values. Implementing a user interface to monitor the Process Model execution will be novel as it will allow managing Process Model change on the fly for each sub-activity. In this paper, we will implement a graphical modeling workbench to visualize the EMF models, manage activities state change, intercept events and identify the rule to apply: Put in action the rules management