arrow
Return

Feature-oriented engineering of declarative artifact-centric process models

delete2021-02-01
delete3
delete
OA
AI
R
Rik Eshuis *
DOI:10.1016/j.is.2020.101644delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Declarative artifact-centric process models are suitable for specifying knowledge-intensive processes. Currently, such models need to be designed from scratch, even though existing model fragments could be reused to gain efficiency in designing and maintaining declarative artifact-centric process models. To address this problem, this paper proposes an approach for composing model fragments, abstracted into features, into fully specified declarative artifact-centric process models. We use Guard-Stage-Milestone (GSM) schemas as modeling language and let each feature denote a GSM schema fragment. The approach supports feature composition at different levels of granularity. Permutability of features is analyzed. Syntactic conditions that ensure permutability are defined and refactoring of non-permutable into permutable features is discussed. The approach has been evaluated by implementing it in a tool based on the Case Management Model Notation (CMMN) and applying it to three real-world processes. Using the approach, declarative artifact-centric process models can be composed from existing model fragments in an efficient, robust and correct way. (C) 2020 The Author. Published by Elsevier Ltd.
Keywords:
Business artifacts
Feature composition
Variability management
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Enterprise Information Systems cover
Enterprise Information Systems
IF:
3.9
Papers:
2.8K
Citations:
1.8K

Organization

E
Eindhoven University of Technology
Scholars:
1.6W
Papers: 1.5W
Citations: 2.2W