MARATTO

article

Optimizing City Services through Configurable Change Mining: Implementation of the Variability Change Tree Approach

Abstract

In providing services to citizens, understanding their behavior is crucial for effective adaptation. Often, the service provided to citizens is presented as a business process, which describes all the required actions that a citizen's request will go through until the citizen's needs are fulfilled. However, citizens and all individuals and systems interacting with the process may choose not to follow the prescribed actions in the process for various reasons, leading to the execution of tasks in different ways. Therefore, these changes in behavior should be taken into account to better adapt the process to their needs and provide improved services to citizens. In a previous work, we proposed a framework that can detect changes not only in a single business process but in a family of business processes issued from a configurable business process, and the detected changes are represented in a change tree. The goal of this paper is to show the applicability of our proposed approaches in the context of services provided to citizens and to implement the configurable process change tree, making the result of the configurable Change Mining more user-friendly for the end user.

Research topics

  • Cognitive and psychological constructs research
  • Business Process Modeling and Analysis
  • Service and Product Innovation

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1109/mscc62288.2024.10697070

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.