Understanding quality in declarative process modeling through the mental models of experts

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Understanding quality in declarative process modeling through the mental models of experts. / Abbad Andaloussi, Amine; Davis, Christopher J.; Burattin, Andrea; López, Hugo A.; Slaats, Tijs; Weber, Barbara.

Business Process Management: 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings. Springer, 2020. p. 417-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12168 ).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Abbad Andaloussi, A, Davis, CJ, Burattin, A, López, HA, Slaats, T & Weber, B 2020, Understanding quality in declarative process modeling through the mental models of experts. in Business Process Management: 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12168 , pp. 417-434, 18th International Conference on Business Process Management, BPM 2020, Seville, Spain, 13/09/2020. https://doi.org/10.1007/978-3-030-58666-9_24

APA

Abbad Andaloussi, A., Davis, C. J., Burattin, A., López, H. A., Slaats, T., & Weber, B. (2020). Understanding quality in declarative process modeling through the mental models of experts. In Business Process Management: 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings (pp. 417-434). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.. 12168 https://doi.org/10.1007/978-3-030-58666-9_24

Vancouver

Abbad Andaloussi A, Davis CJ, Burattin A, López HA, Slaats T, Weber B. Understanding quality in declarative process modeling through the mental models of experts. In Business Process Management: 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings. Springer. 2020. p. 417-434. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12168 ). https://doi.org/10.1007/978-3-030-58666-9_24

Author

Abbad Andaloussi, Amine ; Davis, Christopher J. ; Burattin, Andrea ; López, Hugo A. ; Slaats, Tijs ; Weber, Barbara. / Understanding quality in declarative process modeling through the mental models of experts. Business Process Management: 18th International Conference, BPM 2020, Seville, Spain, September 13–18, 2020, Proceedings. Springer, 2020. pp. 417-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12168 ).

Bibtex

@inproceedings{1326bb5b0a934643a3bd959f21c9b123,
title = "Understanding quality in declarative process modeling through the mental models of experts",
abstract = "Imperative process models have become immensely popular. However, their use is usually limited to rigid and repetitive processes. Considering the inherent flexibility in most processes in the real-world and the increased need for managing knowledge-intensive processes, the adoption of declarative languages becomes more pertinent than ever. While the quality of imperative models has been extensively investigated in the literature, little is known about the dimensions affecting the quality of declarative models. This work takes an advanced stride to investigate the quality of declarative models. Following the theory of Personal Construct Psychology (PCT), our research introduces a novel method within the Business Process Management (BPM) field to explore quality in the eyes of expert modelers. The findings of this work summarize the dimensions defining the quality of declarative models. The outcome shows the potential of PCT as a basis to discover quality dimensions and advances our understanding of quality in declarative process models.",
keywords = "Declarative process models, Model quality, Personal construct psychology, Process model understandability, Repertory Grid",
author = "{Abbad Andaloussi}, Amine and Davis, {Christopher J.} and Andrea Burattin and L{\'o}pez, {Hugo A.} and Tijs Slaats and Barbara Weber",
year = "2020",
doi = "10.1007/978-3-030-58666-9_24",
language = "English",
isbn = "978-3-030-58665-2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "417--434",
booktitle = "Business Process Management",
note = "18th International Conference on Business Process Management, BPM 2020 ; Conference date: 13-09-2020 Through 18-09-2020",

}

RIS

TY - GEN

T1 - Understanding quality in declarative process modeling through the mental models of experts

AU - Abbad Andaloussi, Amine

AU - Davis, Christopher J.

AU - Burattin, Andrea

AU - López, Hugo A.

AU - Slaats, Tijs

AU - Weber, Barbara

PY - 2020

Y1 - 2020

N2 - Imperative process models have become immensely popular. However, their use is usually limited to rigid and repetitive processes. Considering the inherent flexibility in most processes in the real-world and the increased need for managing knowledge-intensive processes, the adoption of declarative languages becomes more pertinent than ever. While the quality of imperative models has been extensively investigated in the literature, little is known about the dimensions affecting the quality of declarative models. This work takes an advanced stride to investigate the quality of declarative models. Following the theory of Personal Construct Psychology (PCT), our research introduces a novel method within the Business Process Management (BPM) field to explore quality in the eyes of expert modelers. The findings of this work summarize the dimensions defining the quality of declarative models. The outcome shows the potential of PCT as a basis to discover quality dimensions and advances our understanding of quality in declarative process models.

AB - Imperative process models have become immensely popular. However, their use is usually limited to rigid and repetitive processes. Considering the inherent flexibility in most processes in the real-world and the increased need for managing knowledge-intensive processes, the adoption of declarative languages becomes more pertinent than ever. While the quality of imperative models has been extensively investigated in the literature, little is known about the dimensions affecting the quality of declarative models. This work takes an advanced stride to investigate the quality of declarative models. Following the theory of Personal Construct Psychology (PCT), our research introduces a novel method within the Business Process Management (BPM) field to explore quality in the eyes of expert modelers. The findings of this work summarize the dimensions defining the quality of declarative models. The outcome shows the potential of PCT as a basis to discover quality dimensions and advances our understanding of quality in declarative process models.

KW - Declarative process models

KW - Model quality

KW - Personal construct psychology

KW - Process model understandability

KW - Repertory Grid

UR - http://www.scopus.com/inward/record.url?scp=85091323507&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-58666-9_24

DO - 10.1007/978-3-030-58666-9_24

M3 - Article in proceedings

AN - SCOPUS:85091323507

SN - 978-3-030-58665-2

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

SP - 417

EP - 434

BT - Business Process Management

PB - Springer

T2 - 18th International Conference on Business Process Management, BPM 2020

Y2 - 13 September 2020 through 18 September 2020

ER -

ID: 250812501