2016 49th Hawaii International Conference on System Sciences (HICSS) 2016
DOI: 10.1109/hicss.2016.551
|View full text |Cite
|
Sign up to set email alerts
|

Applying Evaluations While Building the Artifact -- Experiences from the Development of Process Model Complexity Metrics

Abstract: The

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 28 publications
0
0
0
Order By: Relevance
“…Generally, the measurement of model quality is a lively discussed topic in literature and quality frameworks, metrics, empirical surveys as well as pragmatic guidelines were introduced in recent years (Avila et al, 2019;Mendling et al, 2010). These approaches build on quality dimensions such as complexity, modularity, size or cohesion to quantify conceptual model quality (Braunnagel et al, 2015;Vanderfeesten et al, 2007). Against this background, the "understandability" of a conceptual model has established as a commonly accepted quality criterion (Houy et al, 2012(Houy et al, , 2014.…”
Section: Setting and Experiments Conductionmentioning
confidence: 99%
“…Generally, the measurement of model quality is a lively discussed topic in literature and quality frameworks, metrics, empirical surveys as well as pragmatic guidelines were introduced in recent years (Avila et al, 2019;Mendling et al, 2010). These approaches build on quality dimensions such as complexity, modularity, size or cohesion to quantify conceptual model quality (Braunnagel et al, 2015;Vanderfeesten et al, 2007). Against this background, the "understandability" of a conceptual model has established as a commonly accepted quality criterion (Houy et al, 2012(Houy et al, , 2014.…”
Section: Setting and Experiments Conductionmentioning
confidence: 99%