## 2 Related Works  
This paper aims to integrate the process mining functionality with the process analyzing functionality by implementing an XPDL process mining and analysis system, thereby supporting the information control net process discovery functionality. The system seamlessly performs the multifunctionality of discovering, analyzing, and simulating very large scale and massively parallel process models. Almost all of the previous tools and systems for the process analysis and simulation activities could be applied to the discovered and explored process models by the process mining systems. However, it is not easy for the process analyzing activity and the process mining activity to be seamlessly integrated with each other. * Firstly, we try to investigate the state-of-the-art in the process analysis and simulation tools and systems, separately. The authors of [6] defined the concept of the structured process model and its properties, which are the properties that can be checked up by the system proposed in this paper, and described a taxonomy for analyzing unstructured processes, which are characterized by the properties of improper nestings or mismatched split-join pairings. * In [4, 8], the authors proposed a functional mechanism for analyzing XPDL process models and their relevant data modification sequences, and we use the functional mechanism for implementing the simulation-based performative analysis function of the system in this paper. * The authors of [18] gave a definition of the system of this paper, in which the authors described a template that was built in the simulation language, Arena. The positive effect of using the template is decreasing the gap between the conceptualization activities and their real process models to be analyzed. * The necessity of the system is given by [19], in which the authors emphasized the importance of the comparison analysis between designed processes and redesigned processes by using the process analysis and simulation tools and systems. The authors also discussed a number of analysis tools that are relevant for the business process field, evaluated their applicability for business process analysis and simulation, and formulated the technical recommendations and further research issues. The system proposed in this paper is based upon the theory of the information control net modeling methodology. * Alternatively, Ref. [7] presented a tool of process analysis and simulation based upon the theory of Petri net modeling methodology, which is named Yasper [7] as a tool for modeling, analyzing, and simulating process models based on Petri nets. * The authors of [20] proposed a fully automatic method to simplify BPML (business process model and notation) process models and described a two-phase iterative algorithm to achieve this simplification, which follows a heuristic approach that makes intensive use of a pattern repository. * The study of [21] introduced a goal-driven process evaluation method based on process mining for healthcare processes. The proposed method comprises the following steps: defining goals and questions, data extraction, data preprocessing, log and pattern inspection, process mining analysis and generating answers to questions, evaluating results, and initiating proposals for process improvements. Additionally, the authors applied the proposed method to the surgical process of a university hospital in Turkey as a case study. * The authors of [22] proposed three strategies (based on exhaustive search, genetic algorithms, and a greedy heuristic) that use event data to automatically derive a process model from a configurable process model that better represents the characteristics of the process in a specific branch. Additionally, they implemented these strategies and tested them in both business-like event logs, as recorded in a higher educational enterprise resource planning system, and a real case scenario involving a set of Dutch municipalities.