Feature-oriented composition of declarative artifact-centric process models

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Declarative business process models that are centered around artifacts, which represent key business entities, have proven useful to specify knowledge-intensive processes. Currently, declarative artifact-centric process models need to be designed from scratch, even though existing model fragments could be reused to gain efficiency in designing and maintaining such 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. Correctness criteria are defined that guarantee that valid GSM schemas are derived. The approach is evaluated by applying it to an industrial process. Using the approach, declarative artifact-centric process models can be composed from existing model fragments in an efficient and correct way.

Original languageEnglish
Title of host publicationBusiness Process Management - 16th International Conference, BPM 2018, Proceedings
EditorsMarco Montali, Ingo Weber, Mathias Weske, Jan vom Brocke
Place of PublicationCham
Number of pages17
ISBN (Electronic)978-3-319-98648-7
ISBN (Print)978-3-319-98647-0
Publication statusPublished - 1 Jan 2018
Event16th International Conference on Business Process Management, BPM 2018 - Sydney, Australia
Duration: 9 Sep 201814 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11080 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th International Conference on Business Process Management, BPM 2018


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