Assessing Agile Software Development Processes with Process Mining: A Case Study

Software development is a growing industry with increasingly more complex projects. Agile methodologies, such as Scrum, have emerged in part to address this challenge. Agile focuses on a set of best practices rather than a standardized process, which makes it difficult to assess whether it is being properly implemented in an organization. In this work, we analyze the feasibility of using process mining to evaluate the implementation of Scrum practices based on event logs collected from a case-handling system. A case study was conducted in an IT organization that uses Jira Software to manage its projects. With process mining, it was possible to extract the workflow behaviour in two different projects. While Scrum standards like role distribution could be discovered, other practices like customer collaboration could not be detected in the log. This case study provided important insights regarding the application of process mining in case-handling systems and Scrum processes.