## 1 Introduction
The proposed approaches in the literature require some expertise in simulation and in the field of IT. Moreover, the conceptual model can be different than the simulated model and many tests are required to ensure their compatibility, which is money- and time-consuming. There are user-friendly tools on the market to overcome these limitations, but they are less adaptable and often very inflexible in their target outcomes, as mentioned in Reference [7]. In addition to that, according to Reference [8], several business-process modeling and simulation works focused on control flow and data flow, and less attention has been dedicated to the resources used, while resources are the inputs for producing goods and services. Thus, merging process modeling with simulation resources helps support accurate decision-making before implementing any solution. To successfully improve their business information systems and process automation, companies call on computer engineering and services societies (IT companies) to better help their clients to identify process automation barriers and other opportunities to overcome productivity gaps. IT companies require a tool that merges process modeling and process simulation simultaneously. In order to reach the goals set by the client, the modeling simulation tool methodology should be understandable by all stakeholders, from the business analyst to the IT consultant, in order to increase communication and facilitate the analysis as described in Reference [9]. For this, a tool based on an MDE approach is required. Such a tool has the ability to separate the operational needs from the technical needs, whilst still being able to highlight any links between the two. In addition, it couples the methodology with a modeling language, allowing different levels of precision to be modeled, first capturing high-level activities and then concentrating down to lower levels. Finally, the same modeling language includes the representation of non-functional requirements with simulation means to assess them. For this purpose, this paper proposes an MDE analysis methodology with a tool merging modeling and simulation in the same phase, using a resource-perspective approach. Our work was based on model-driven system engineering architecture (MDSEA) [10] and the extended Business Process Modeling and Notation (eBPMN) language [7]. The originality of this contribution is in distinguishing resource types at the modeling and simulation phase (human, physical means, and IT resources). Moreover, this paper introduces a new composite resource simulation, considering the relationship between a user (human resource) and a task form (IT resource). In order to compute and display a global process measurement, a resource aggregation approach is proposed. Finally, the resulting tool displays the non-functional simulation results, going further than previous works by giving path information instead of task-only information. The rest of the paper is structured as follows: Section 2 provides the materials and methods used to produce the proposed paper. Section 3 presents the contribution to overcome the above-mentioned issues. Finally, a real case study is presented to validate the approach, followed by a discussion in Section 4.