Zooming in for Clarity: Towards Low-Code Modeling for Activity Data Flow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Business Process Modeling and Notation (BPMN) is a widely used standard workflow language for modeling business processes. However, there is a growing need to integrate data and process models to enable a more holistic view of business processes to reducing implementation time through a clear understanding of the mode, and BPMN has limitations in representing data-related concepts. To address this, we propose an extension to BPMN called DataFlow BPMN (DF-BPMN), which is a low-coding visual solution, for modeling and analyzing the relationship between process and data. Low-code is a growing development approach supported by many platforms. It fills the gap between business and developer. Indeed, it enables quick generation and delivery of business applications with minimum effort. We introduce the Activity DataFlow, an extension of activity that allows zooming into the data manipulated within it, which enable different levels of granularity: control-flow perspective and data perspective. Additionally, we developed a tool for creating a model with the DF-BPMN. Our approach has been evaluated quantitatively and qualitatively, and the results demonstrate that DF-BPMN offers significant advantages over BPMN.

Original languageEnglish
Title of host publicationBusiness Process Management Forum - BPM 2023 Forum, Proceedings
EditorsChiara Di Francescomarino, Andrea Burattin, Christian Janiesch, Shazia Sadiq
PublisherSpringer Science and Business Media Deutschland GmbH
Pages267-282
Number of pages16
ISBN (Print)9783031416224
DOIs
Publication statusPublished - 1 Jan 2023
EventProceedings of the 21st International Conference on Business Process Management, BPM 2023 - Utrecht, Netherlands
Duration: 11 Sept 202315 Sept 2023

Publication series

NameLecture Notes in Business Information Processing
Volume490 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceProceedings of the 21st International Conference on Business Process Management, BPM 2023
Country/TerritoryNetherlands
CityUtrecht
Period11/09/2315/09/23

Keywords

  • BPMN
  • Low-Code
  • Process Modeling
  • data models
  • data perspective

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