Feature-oriented composition of declarative artifact-centric process models

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

Abstract

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.

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
PublisherSpringer
Pages66-82
Number of pages17
ISBN (Electronic)978-3-319-98648-7
ISBN (Print)978-3-319-98647-0
DOIs
StatePublished - 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

Conference

Conference16th International Conference on Business Process Management, BPM 2018
CountryAustralia
CitySydney
Period9/09/1814/09/18

Fingerprint

Process Model
Fragment
Schema
Chemical analysis
Business Model
Modeling Language
Granularity
Business Process
Model
Correctness
Valid
Denote
Industry

Cite this

Eshuis, R. (2018). Feature-oriented composition of declarative artifact-centric process models. In M. Montali, I. Weber, M. Weske, & J. vom Brocke (Eds.), Business Process Management - 16th International Conference, BPM 2018, Proceedings (pp. 66-82). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11080 LNCS). Cham: Springer. DOI: 10.1007/978-3-319-98648-7_5
Eshuis, Rik. / Feature-oriented composition of declarative artifact-centric process models. Business Process Management - 16th International Conference, BPM 2018, Proceedings. editor / Marco Montali ; Ingo Weber ; Mathias Weske ; Jan vom Brocke. Cham : Springer, 2018. pp. 66-82 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{18615e5cbada45cdb933245aabc360fa,
title = "Feature-oriented composition of declarative artifact-centric process models",
abstract = "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.",
author = "Rik Eshuis",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-319-98648-7_5",
language = "English",
isbn = "978-3-319-98647-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "66--82",
editor = "Marco Montali and Ingo Weber and Mathias Weske and {vom Brocke}, Jan",
booktitle = "Business Process Management - 16th International Conference, BPM 2018, Proceedings",
address = "Germany",

}

Eshuis, R 2018, Feature-oriented composition of declarative artifact-centric process models. in M Montali, I Weber, M Weske & J vom Brocke (eds), Business Process Management - 16th International Conference, BPM 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11080 LNCS, Springer, Cham, pp. 66-82, 16th International Conference on Business Process Management, BPM 2018, Sydney, Australia, 9/09/18. DOI: 10.1007/978-3-319-98648-7_5

Feature-oriented composition of declarative artifact-centric process models. / Eshuis, Rik.

Business Process Management - 16th International Conference, BPM 2018, Proceedings. ed. / Marco Montali; Ingo Weber; Mathias Weske; Jan vom Brocke. Cham : Springer, 2018. p. 66-82 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11080 LNCS).

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

TY - GEN

T1 - Feature-oriented composition of declarative artifact-centric process models

AU - Eshuis,Rik

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85053627434&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-98648-7_5

DO - 10.1007/978-3-319-98648-7_5

M3 - Conference contribution

SN - 978-3-319-98647-0

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 66

EP - 82

BT - Business Process Management - 16th International Conference, BPM 2018, Proceedings

PB - Springer

CY - Cham

ER -

Eshuis R. Feature-oriented composition of declarative artifact-centric process models. In Montali M, Weber I, Weske M, vom Brocke J, editors, Business Process Management - 16th International Conference, BPM 2018, Proceedings. Cham: Springer. 2018. p. 66-82. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from, DOI: 10.1007/978-3-319-98648-7_5