Measuring the precision of multi-perspective process models

F. Mannhardt; M. de Leoni; H.A. Reijers; W.M.P. van der Aalst

doi:10.1007/978-3-319-42887-1_10

Measuring the precision of multi-perspective process models

F. Mannhardt, M. de Leoni, H.A. Reijers, W.M.P. van der Aalst

Process Science

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

9 Citations (Scopus)

2 Downloads (Pure)

Abstract

Process models need to reflect the real behavior of an organization’s processes to be beneficial for several use cases, such as process analysis, process documentation and process improvement. One quality criterion for a process model is that they should precise and not express more behavior than what is observed in logging data. Existing precision measures for process models purely focus on the control-flow dimension of a process model, thereby ignoring other perspectives, such as the data objects manipulated by the process, the resources executing process activities, and time-related aspects (e.g., activity deadlines). Focusing on the control-flow only, the results may be misleading. This paper extends existing precision measures to incorporate the other perspectives and, through an evaluation with a real-life process and corresponding logging data, demonstrates how the new measure matches our intuitive understanding of precision.

Original language	English
Title of host publication	Business Process Management Workshops
Subtitle of host publication	BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 – September 3, 2015, Revised Papers
Editors	Manfred Reichert, Hajo A. Reijers
Place of Publication	Berlin
Publisher	Springer
Pages	113-125
Number of pages	12
ISBN (Electronic)	978-3-319-42887-1
ISBN (Print)	978-3-319-42886-4
DOIs	https://doi.org/10.1007/978-3-319-42887-1_10
Publication status	Published - 2016
Event	13th International Workshops on Business Process Management Workshops (BPM 2015) - Innsbruck, Austria Duration: 31 Aug 2015 → 3 Sep 2015 Conference number: 13 http://bpm2015.q-e.at/

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	256
ISSN (Electronic)	1865-1348

Conference

Conference	13th International Workshops on Business Process Management Workshops (BPM 2015)
Abbreviated title	BPM 2015
Country/Territory	Austria
City	Innsbruck
Period	31/08/15 → 3/09/15
Other	BPM Demo Session 2015, BPMD 2015 - co-located with the 13th International Conference on Business Process Management, BPM 2015
Internet address	http://bpm2015.q-e.at/

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10.1007/978-3-319-42887-1_10

Cite this

Mannhardt, F., de Leoni, M., Reijers, H. A., & van der Aalst, W. M. P. (2016). Measuring the precision of multi-perspective process models. In M. Reichert, & H. A. Reijers (Eds.), Business Process Management Workshops: BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 – September 3, 2015, Revised Papers (pp. 113-125). (Lecture Notes in Business Information Processing; Vol. 256). Springer. https://doi.org/10.1007/978-3-319-42887-1_10

Mannhardt, F. ; de Leoni, M. ; Reijers, H.A. ; van der Aalst, W.M.P. / Measuring the precision of multi-perspective process models. Business Process Management Workshops: BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 – September 3, 2015, Revised Papers. editor / Manfred Reichert ; Hajo A. Reijers. Berlin : Springer, 2016. pp. 113-125 (Lecture Notes in Business Information Processing).

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abstract = "Process models need to reflect the real behavior of an organization{\textquoteright}s processes to be beneficial for several use cases, such as process analysis, process documentation and process improvement. One quality criterion for a process model is that they should precise and not express more behavior than what is observed in logging data. Existing precision measures for process models purely focus on the control-flow dimension of a process model, thereby ignoring other perspectives, such as the data objects manipulated by the process, the resources executing process activities, and time-related aspects (e.g., activity deadlines). Focusing on the control-flow only, the results may be misleading. This paper extends existing precision measures to incorporate the other perspectives and, through an evaluation with a real-life process and corresponding logging data, demonstrates how the new measure matches our intuitive understanding of precision.",

author = "F. Mannhardt and {de Leoni}, M. and H.A. Reijers and {van der Aalst}, W.M.P.",

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Mannhardt, F, de Leoni, M, Reijers, HA & van der Aalst, WMP 2016, Measuring the precision of multi-perspective process models. in M Reichert & HA Reijers (eds), Business Process Management Workshops: BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 – September 3, 2015, Revised Papers. Lecture Notes in Business Information Processing, vol. 256, Springer, Berlin, pp. 113-125, 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_10

Measuring the precision of multi-perspective process models. / Mannhardt, F.; de Leoni, M.; Reijers, H.A.; van der Aalst, W.M.P.

Business Process Management Workshops: BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 – September 3, 2015, Revised Papers. ed. / Manfred Reichert; Hajo A. Reijers. Berlin : Springer, 2016. p. 113-125 (Lecture Notes in Business Information Processing; Vol. 256).

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

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N2 - Process models need to reflect the real behavior of an organization’s processes to be beneficial for several use cases, such as process analysis, process documentation and process improvement. One quality criterion for a process model is that they should precise and not express more behavior than what is observed in logging data. Existing precision measures for process models purely focus on the control-flow dimension of a process model, thereby ignoring other perspectives, such as the data objects manipulated by the process, the resources executing process activities, and time-related aspects (e.g., activity deadlines). Focusing on the control-flow only, the results may be misleading. This paper extends existing precision measures to incorporate the other perspectives and, through an evaluation with a real-life process and corresponding logging data, demonstrates how the new measure matches our intuitive understanding of precision.

AB - Process models need to reflect the real behavior of an organization’s processes to be beneficial for several use cases, such as process analysis, process documentation and process improvement. One quality criterion for a process model is that they should precise and not express more behavior than what is observed in logging data. Existing precision measures for process models purely focus on the control-flow dimension of a process model, thereby ignoring other perspectives, such as the data objects manipulated by the process, the resources executing process activities, and time-related aspects (e.g., activity deadlines). Focusing on the control-flow only, the results may be misleading. This paper extends existing precision measures to incorporate the other perspectives and, through an evaluation with a real-life process and corresponding logging data, demonstrates how the new measure matches our intuitive understanding of precision.

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Mannhardt F, de Leoni M, Reijers HA , van der Aalst WMP. Measuring the precision of multi-perspective process models. In Reichert M, Reijers HA, editors, Business Process Management Workshops: BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31 – September 3, 2015, Revised Papers. Berlin: Springer. 2016. p. 113-125. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-319-42887-1_10

Measuring the precision of multi-perspective process models

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