Abstract
Declarative process specifications are defined by a set of behavioural constraints exerted over the execution of activities. These constraints are rooted in Linear Temporal Logic over finite traces. Declarative process mining encompasses a collection of techniques based on recorded process executions (event logs), with the objective of extracting such specifications and enhancing them. This paper presents MINERful, an open-source tool for declarative process mining in its new, reloaded version. It offers a range of functionalities revolving around the mining cycle of a process specification: its automated discovery from event logs, its simplification to remove redundancies and inconsistencies, its simulation to generate synthetic datasets, and fitness checking to gauge its level of conformance with logs. We showcase its usage with a real-world event log in the healthcare domain.
| Original language | English |
|---|---|
| Pages (from-to) | 1-5 |
| Number of pages | 5 |
| Journal | CEUR Workshop Proceedings |
| Volume | 4032 |
| Publication status | Published - 2025 |
| Event | Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Forum at 23rd International Conference on Business Process Management, BPM-D 2025 - Seville, Spain Duration: 31 Aug 2025 → 5 Sept 2025 |
Bibliographical note
Publisher Copyright:© 2025 Copyright for this paper by its authors.
Keywords
- Automated reasoning
- Linear Temporal Logic over finite traces
- Simulation
- Specification mining
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