article

DALEC: a framework for the systematic evaluation of data-centric approaches to process management software

Authors:

Sebastian Steinau,

Andrea Marrella,

Francesco Leotta,

Massimo Mecella,

Manfred ReichertAuthors Info & Claims

Software and Systems Modeling (SoSyM), Volume 18, Issue 4

Pages 2679 - 2716

https://doi.org/10.1007/s10270-018-0695-0

Published: 01 August 2019 Publication History

Abstract

The increasing importance of data in business processes has led to the emergence of data-centric business process management, which deviates from the widely used activity-centric paradigm. Data-centric approaches set their focus on data, aiming at supporting data-intensive business processes and increased process flexibility. The objective of this article is to gain profound insights into the maturity of different data-centric approaches as well as their capabilities. In particular, this article will provide a framework for systematically evaluating and comparing data-centric approaches, with regard to the phases of the business process lifecycle. To this end, a systematic literature review (SLR) was conducted with the goal of evaluating the capabilities of data-centric process management approaches. The SLR comprises 38 primary studies which were thoroughly analyzed. The studies were categorized into different approaches, whose capabilities were thoroughly assessed. Special focus was put on the tooling and software of the approaches. The article provides the empirically grounded DALEC framework to evaluate and compare data-centric approaches. Furthermore, the results of the SLR offer insights into existing data-centric approaches and their capabilities. Data-centric approaches promise better support of loosely structured and data-intensive business processes, which may not be adequately represented by activity-centric paradigms.

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cover image Software and Systems Modeling (SoSyM)

Software and Systems Modeling (SoSyM) Volume 18, Issue 4

August 2019

407 pages

ISSN:1619-1366

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Copyright © Copyright © 2019 Springer-Verlag GmbH Germany, part of Springer Nature.

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Published: 01 August 2019

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Verbruggen CSnoeck M(2024)TEC-MAP: a taxonomy of evaluation criteria and its application to the multi-modelling of data and processesSoftware and Systems Modeling (SoSyM)10.1007/s10270-024-01198-623:5(1183-1216)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1007/s10270-024-01198-6
Breitmayer MArnold LWinter MReichert M(2024)Exploring user editing preferences in electronic forms: an empirical studyInformation Systems and e-Business Management10.1007/s10257-023-00662-y22:1(171-207)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s10257-023-00662-y
Seidel AHaarmann SWeske M(2023)Model-based decision support for knowledge-intensive processesJournal of Intelligent Information Systems10.1007/s10844-022-00770-061:1(143-165)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1007/s10844-022-00770-0
Snoeck MVerbruggen CDe Smedt JDe Weerdt J(2023)Supporting data-aware processes with MERODESoftware and Systems Modeling (SoSyM)10.1007/s10270-023-01095-422:6(1779-1802)Online publication date: 1-Dec-2023
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