Integrated process and decision modeling for data-driven processes

Han van der Aa; Henrik Leopold; Kimon Batoulis; Mathias Weske; Hajo A. Reijers

doi:10.1007/978-3-319-42887-1_33

Integrated process and decision modeling for data-driven processes

Han van der Aa^*, Henrik Leopold, Kimon Batoulis, Mathias Weske, Hajo A. Reijers

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

While business process models have been proven to represent useful artifacts for organizations, they are not suitable to represent the detailed decision logic underlying processes. Ignoring this limitation often results in complex, spaghetti-like process models for workflows driven by data-based decisions. To avoid this, decision logic should be isolated from process logic, following a separation of concerns paradigm. To support this practice, we present an approach that automatically derives process models for which this paradigm applies. It takes as input structural dataflow relations underlying a workflow and produces a process model that emphasizes the most important decisions in a process, while detailed decision logic is outsourced to dedicated decision models.

Original language	English
Title of host publication	Business Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers
Publisher	Springer - Verlag
Pages	405-417
Number of pages	13
Volume	256
ISBN (Print)	9783319428864
DOIs	https://doi.org/10.1007/978-3-319-42887-1_33
Publication status	Published - 2016
Event	13th International Workshops on Business Process Management Workshops, BPM 2015 - Innsbruck, Austria Duration: 31 Aug 2015 → 3 Sept 2015

Publication series

Name	Lecture Notes in Business Information Processing
Volume	256
ISSN (Print)	18651348

Conference

Conference	13th International Workshops on Business Process Management Workshops, BPM 2015
Country/Territory	Austria
City	Innsbruck
Period	31/08/15 → 3/09/15

Keywords

Activity composition
BPMN
Decision modeling
DMN
Process modeling
Product based workflow design
Workflows

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-42887-1_33

Handle.net

Persistent link

Cite this

van der Aa, H., Leopold, H., Batoulis, K., Weske, M., & Reijers, H. A. (2016). Integrated process and decision modeling for data-driven processes. In Business Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers (Vol. 256, pp. 405-417). (Lecture Notes in Business Information Processing; Vol. 256). Springer - Verlag. https://doi.org/10.1007/978-3-319-42887-1_33

@inproceedings{7c062ea4d58d4832835b63d0b4495323,

title = "Integrated process and decision modeling for data-driven processes",

abstract = "While business process models have been proven to represent useful artifacts for organizations, they are not suitable to represent the detailed decision logic underlying processes. Ignoring this limitation often results in complex, spaghetti-like process models for workflows driven by data-based decisions. To avoid this, decision logic should be isolated from process logic, following a separation of concerns paradigm. To support this practice, we present an approach that automatically derives process models for which this paradigm applies. It takes as input structural dataflow relations underlying a workflow and produces a process model that emphasizes the most important decisions in a process, while detailed decision logic is outsourced to dedicated decision models.",

keywords = "Activity composition, BPMN, Decision modeling, DMN, Process modeling, Product based workflow design, Workflows",

author = "{van der Aa}, Han and Henrik Leopold and Kimon Batoulis and Mathias Weske and Reijers, {Hajo A.}",

year = "2016",

doi = "10.1007/978-3-319-42887-1_33",

language = "English",

isbn = "9783319428864",

volume = "256",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer - Verlag",

pages = "405--417",

booktitle = "Business Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers",

note = "13th International Workshops on Business Process Management Workshops, BPM 2015 ; Conference date: 31-08-2015 Through 03-09-2015",

}

van der Aa, H, Leopold, H, Batoulis, K, Weske, M & Reijers, HA 2016, Integrated process and decision modeling for data-driven processes. in Business Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers. vol. 256, Lecture Notes in Business Information Processing, vol. 256, Springer - Verlag, pp. 405-417, 13th International Workshops on Business Process Management Workshops, BPM 2015, Innsbruck, Austria, 31/08/15. https://doi.org/10.1007/978-3-319-42887-1_33

Integrated process and decision modeling for data-driven processes. / van der Aa, Han; Leopold, Henrik; Batoulis, Kimon et al.

Business Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers. Vol. 256 Springer - Verlag, 2016. p. 405-417 (Lecture Notes in Business Information Processing; Vol. 256).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Integrated process and decision modeling for data-driven processes

AU - van der Aa, Han

AU - Leopold, Henrik

AU - Batoulis, Kimon

AU - Weske, Mathias

AU - Reijers, Hajo A.

PY - 2016

Y1 - 2016

N2 - While business process models have been proven to represent useful artifacts for organizations, they are not suitable to represent the detailed decision logic underlying processes. Ignoring this limitation often results in complex, spaghetti-like process models for workflows driven by data-based decisions. To avoid this, decision logic should be isolated from process logic, following a separation of concerns paradigm. To support this practice, we present an approach that automatically derives process models for which this paradigm applies. It takes as input structural dataflow relations underlying a workflow and produces a process model that emphasizes the most important decisions in a process, while detailed decision logic is outsourced to dedicated decision models.

AB - While business process models have been proven to represent useful artifacts for organizations, they are not suitable to represent the detailed decision logic underlying processes. Ignoring this limitation often results in complex, spaghetti-like process models for workflows driven by data-based decisions. To avoid this, decision logic should be isolated from process logic, following a separation of concerns paradigm. To support this practice, we present an approach that automatically derives process models for which this paradigm applies. It takes as input structural dataflow relations underlying a workflow and produces a process model that emphasizes the most important decisions in a process, while detailed decision logic is outsourced to dedicated decision models.

KW - Activity composition

KW - BPMN

KW - Decision modeling

KW - DMN

KW - Process modeling

KW - Product based workflow design

KW - Workflows

UR - http://www.scopus.com/inward/record.url?scp=84979642985&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84979642985&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-42887-1_33

DO - 10.1007/978-3-319-42887-1_33

M3 - Conference contribution

AN - SCOPUS:84979642985

SN - 9783319428864

VL - 256

T3 - Lecture Notes in Business Information Processing

SP - 405

EP - 417

BT - Business Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers

PB - Springer - Verlag

T2 - 13th International Workshops on Business Process Management Workshops, BPM 2015

Y2 - 31 August 2015 through 3 September 2015

ER -

Integrated process and decision modeling for data-driven processes

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this