A process mining maturity model: Enabling organizations to assess and improve their process mining activities

Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario

Maximizing the Impact of Process Mining Research: Four Strategic Guidelines

While most organizations recognize the potential of process mining and plan to start process mining initia- tives, significant challenges for applying process mining in organizations remain unsolved. In this paper, we investigate the utility of process mining in organizations. Although process mining papers in the current Information Systems (IS) knowledge base deal with developed artifacts based on real-world scenarios, they often do not adequately reflect on their results’ utility and effectiveness in the application context, diminish- ing their contributions’ practical and theoretical implications. By discussing the results from the systematic literature review in the backdrop to the existing knowledge base, we develop four strategic guidelines for conducting process mining research with high relevance and managerial impact. Fellow researchers can follow these guidelines to rigorously plan, execute, and evaluate process mining research projects to gener- ate business value and achieve maximum organizational impact

Certification Aspects of Runtime Assurance for Urban Air Mobility

The transition towards autonomous operations for Urban Air Mobility introduces significant safety challenges, necessitating novel safety assurance strategies. One such strategy is runtime assurance, which ensures the safe behavior of a system during its actual operation. This can be implemented by using a safety monitor that detects unsafe behaviors and then activates a switch to a recovery function to return the system to a safe state. This paper investigates the certification aspects of runtime monitoring, a core component of runtime assurance. We analyze the regulatory framework of urban air mobility, and discuss implications of aviation software standards such as DO-178C and it supplements on runtime assurance. As a concrete example to discuss, Detect-and-Avoid is introduced and motivated from the requirements of the Minimum Operational Performance Standards. The use case is analyzed from a system and a software perspective. From a system perspective, the architecture is compared to the runtime assurance standard practice published by ASTM International. From a software perspective, we assess the stream-based specification language RTLola against the development assurance objectives in the de-facto software development standard DO-178C. As an example, we highlight the role of traceability between the different levels of software requirements. The goal of this research is to illustrate the use of runtime monitoring in the context of certification for Urban Air Mobility applications to improve operational safety and enable increasing levels of automation