About me

Hello Folks!

I’m Ivan Compagnucci, a Ph.D. candidate in Computer Science and Mathematics in the PROcesses & Services lab research group at the University of Camerino. My research focuses on modeling and monitoring business processes that integrate features, data and concepts concerning the Internet of Things (IoT) world. The goal is to align enterprise or organization business processes with emerging IoT technologies, aiming to achieve a synergy that enables continuous technology innovation.

Research

Here you can find the research papers to request the .pdf file send me a request via email or on ResearchGate.

Journal Paper

• Compagnucci, I., Corradini, F., Fornari, F., & Re, B. (2024). A Study on the Usage of the BPMN Notation for Designing Process Collaboration, Choreography, and Conversation Models. Business & Information Systems Engineering, (Vol. 66, pp. 43-66). Springer. on the special issue “The Impact of the Business Process Model and Notation.”

• Compagnucci, I., Corradini, F., Fornari, F., Polini, A., Re, B., & Tiezzi, F. (2022). A systematic literature review on IoT-aware business process modeling views, requirements and notations. Software and Systems Modeling, 14(1), 1–36.

Conference Paper

• Compagnucci, I., Corradini, F., Fornari, F., & Re, B. (2023b). BPMN inspector: A tool for extracting features from BPMN models. In Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2023 co-located with 21st International Conference on Business Process Management (BPM 2023), Utrecht, The Netherlands, September 11th to 15th, 2023 (Vol. 3469, pp. 122–126). CEUR-WS.org.

• Compagnucci, I., Snoeck, M., & Asensio, E. S. (2023). Supporting digital twins systems integrating the MERODE approach. In Proceedings of the 26th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, MODELS 2023, Västerås, Sweden, October 1-6, 2023 (pp. 449–458). doi:10.1109/MODELS-C59198.2023.00079

• Vemuri, P., Poelmans, S., Compagnucci, I., & Snoeck, M. (2023). Using formative assessment and feedback to train novice modelers in business process modeling. In Proceedings of the 26th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, MODELS 2023, Västerås, Sweden, October 1-6, 2023 (pp. 449–458). doi:10.1109/MODELS-C59198.2023.00079

• Compagnucci, I., Corradini, F., Fornari, F., & Re, B. (2021). Trends on the usage of BPMN 2.0 from publicly available repositories. In Perspectives in business informatics research - 20th international conference on business informatics research, BIR 2021, vienna, austria, september 22-24, 2021. (Vol. 430, pp. 84–99). doi:10.1007/978-3-030-87205-2_6

• Compagnucci, I., Corradini, F., Fornari, F., Polini, A., Re, B., & Tiezzi, F. (2020). Modelling notations for iot-aware business processes: A systematic literature review. In Business Process Management Workshops BPM 2020 International Workshops, Seville, Spain, September 13-18, 2020. (Vol. 397, pp. 108–121). doi:10.1007/978-3-030-66498-5_9

Software

BPMN Inspector

BPMN Inspector, is a web application designed to streamline the inspection process of BPMN models. The inspection process effectively distinguishes various model types (i.e. collaboration, choreography, and conversation) while eliminating the need for manual effort in identifying duplicate models, validity issues, and non-English models. In addition, BPMN Inspector provides detailed insights into the collection of models by investigating the usage of BPMN notation elements, their combinations, syntactic violations of the standard and the adherence to established good modeling practices.

Repository Link

ADAPTIVE-SHADOW

(In Development)

ADAPTIVE SHADOW is a Java tool developed to optimize IoT-Enhanced Business Processes.

Repository Link

BPMN Grader

(In Development)

BPMN Grader is a Java tool developed to assist teachers in correcting BPMN diagrams. The tool enables annotations to be added to images of BPMN models, indicating errors made by students while modeling the process. The Annotations that can be included in the model are defined by a framework which includes common errors when modeling BPMN diagrams. The aim is to provide graphic and immediate feedback to the student, improving their learning in BPMN process modeling.

Repository Link

Awards

BPM 2023 Best Paper Award of the Demonstrations and Resources Forum

BPMN Inspector was awarded at the 21th International Conference on Business Process Management September 11-15 in: BPM 2023 Best Paper Award of the Demonstration and Resources Forum with the paper entitled: BPMN Inspector: A Tool for Extracting Features from BPMN Models.

The contribution was mentioned for its noteworthy “potential impact on BPM practitioners and educators” in the BPM Newsletter of November 2023.