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http://hdl.handle.net/1942/28410
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DC Field | Value | Language |
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dc.contributor.author | LIEBEN, Jonas | - |
dc.contributor.author | JOUCK, Toon | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.contributor.author | JANS, Mieke | - |
dc.date.accessioned | 2019-06-14T09:07:24Z | - |
dc.date.available | 2019-06-14T09:07:24Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Pergl, Robert; Babkin, Eduard; Lock, Russel; Malyzhenkov, Pavel; Merunka, V. (Ed.). EOMAS 2018: Enterprise and Organizational Modeling and Simulation, Springer International Publishing,p. 49-62 | - |
dc.identifier.isbn | 978-3-030-00786-7 | - |
dc.identifier.isbn | 978-3-030-00787-4 | - |
dc.identifier.uri | http://hdl.handle.net/1942/28410 | - |
dc.description.abstract | In the domain of process discovery, there are four quality dimensions for evaluating process models of which simplicity is one. Simplicity is often measured using the size of a process model, the structuredness and the entropy. It is closely related to the process model understandability. Researchers from the domain of business process management (BPM) proposed several metrics for measuring the process model understandability. A part of these understandability metrics focus on the control-flow perspective, which is important for evaluating models from process discovery algorithms. It is remarkable that there are more of these metrics defined in the BPM literature compared to the number of proposed simplicity metrics. To research whether the understandability metrics capture more understandability dimensions than the simplicity metrics, an exploratory factor analysis was conducted on 18 understandability metrics. A sample of 4450 BPMN models, both manually modelled and artificially generated, is used. Four dimensions are discovered: token behaviour complexity, node IO complexity, path complexity and degree of connectedness. The conclusion of this analysis is that process analysts should be aware that the measurement of simplicity does not capture all dimensions of the understandability of process models. | - |
dc.language.iso | en | - |
dc.publisher | Springer International Publishing | - |
dc.relation.ispartofseries | Lecture Notes in Business Information Processing | - |
dc.rights | Springer Nature Switzerland AG 2018 | - |
dc.subject.other | Understandability metrics | - |
dc.subject.other | Simplicity | - |
dc.subject.other | Process models | - |
dc.subject.other | Exploratory factor analysis | - |
dc.subject.other | BPMN | - |
dc.title | An Improved Way for Measuring Simplicity During Process Discovery | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Pergl, Robert | - |
local.bibliographicCitation.authors | Babkin, Eduard | - |
local.bibliographicCitation.authors | Lock, Russel | - |
local.bibliographicCitation.authors | Malyzhenkov, Pavel | - |
local.bibliographicCitation.authors | Merunka, V. | - |
local.bibliographicCitation.conferencedate | 11 Jun 2018 - 12 Jun 2018 | - |
local.bibliographicCitation.conferencename | 14th International Workshop on Enterprise and Organizational Modeling and Simulation (EOMAS) Held at Conference on Advanced Information Systems Engineering (CAiSE) | - |
local.bibliographicCitation.conferenceplace | Talinn, Estonia | - |
dc.identifier.epage | 62 | - |
dc.identifier.spage | 49 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.notes | Lieben, J (reprint author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium. FWO, Egmontstr 5, B-1000 Brussels, Belgium. jonas.lieben@uhasselt.be | - |
local.publisher.place | Cham | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 332 | - |
dc.identifier.doi | 10.1007/978-3-030-00787-4_4 | - |
dc.identifier.isi | 000465015700004 | - |
local.bibliographicCitation.btitle | EOMAS 2018: Enterprise and Organizational Modeling and Simulation | - |
local.uhasselt.international | no | - |
item.contributor | LIEBEN, Jonas | - |
item.contributor | JOUCK, Toon | - |
item.contributor | DEPAIRE, Benoit | - |
item.contributor | JANS, Mieke | - |
item.validation | ecoom 2020 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
item.fullcitation | LIEBEN, Jonas; JOUCK, Toon; DEPAIRE, Benoit & JANS, Mieke (2018) An Improved Way for Measuring Simplicity During Process Discovery. In: Pergl, Robert; Babkin, Eduard; Lock, Russel; Malyzhenkov, Pavel; Merunka, V. (Ed.). EOMAS 2018: Enterprise and Organizational Modeling and Simulation, Springer International Publishing,p. 49-62. | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Enterprise and Organizational Modeling and Simulation.pdf Restricted Access | Published version | 307.99 kB | Adobe PDF | View/Open Request a copy |
Factor analysis eomas 2018.pdf | Peer-reviewed author version | 192.53 kB | Adobe PDF | View/Open |
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