Process Mining in Project Management for Smart Cities

Abstract

Smart cities presuppose services, processes and infrastructures supported by highly integrated and networked technologies. The development of these products and technologies is influenced by project management approaches, which can be separated into traditional, agile and hybrid process models. Such process models include quality-gate models, Scrum, and the water-Scrum-fall-model. The most suitable process model must be chosen to ensure efficient and successful development. However, this is not an easy task, as a direct assignment of a project to a specific process model is not always possible. A potential solution for this issue lies in process mining. Process mining systematically analyses processes based on event logs. These can be used to analyse previous projects within an organisation. A model is created through the determined data of previous projects. This model selects an appropriate process model for project management based on a new project's planned data or context factors. An example is the required team size, which influences the selection of an appropriate model. This allows companies to select a process model based on their experiences and data.