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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
18 June,...
Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
2/14
Out...
Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
3/14
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
COGNISE@CAiSE 2013
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
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Ghent university, Economics and Business Administration
jan.claes@ugent.be - www.janclaes.info
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Slides of my presentation at COGNISE workshop at CAiSE conference, 17 June 2013, Valencia, Spain

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COGNISE@CAiSE2013

  1. 1. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 18 June, 2013 FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION Cognitive Aspects of Structured Process Modeling Jan Claes, Frederik Gailly and Geert Poels
  2. 2. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 2/14 Outline Process models, process model quality Process of Process Modeling, data collection Visualization with PPMCharts Observations, Structured Process Modeling Theoretical explanation, hypotheses Methodology
  3. 3. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 3/14 Business Process Modeling (BPM) Business process model  Graphical, abstract representation of process  Important tool for analysis and improvement Business process model in BPMN notation
  4. 4. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 4/14 Process model quality Quality dimension Purpose PRIMARYRESEARCHFOCUS
  5. 5. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 5/14 Process of Process Modeling (PPM) Properties of textual description Properties of modeler Properties of modeling process Properties of resulting model PRIMARY RESEARCH FOCUS Properties of real process Properties of observation process Properties of software and modeling language Properties of model reader Properties of reading process
  6. 6. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 6/14 Process of Process Modeling (PPM) Observational modeling sessions  People construct models  Every action on modeling canvas is logged  Modeler information is collected through survey  Different datasets • 120 students in Eindhoven 2010 • 14 experts in Berlin 2010 • 14 experts in Eindhoven 2011 • 118 students in Eindhoven 2012
  7. 7. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 7/14 Process of Process Modeling (PPM) Properties of the modeling process Activity Timestamp Attributes Create start event 10:00 Id = 1; x = 10; y = 10 Create activity 10:04 Id = 2; x = 40; y = 10; name = “Receive order” Create edge 10:05 Id = 3; from = 1, to = 2 Move activity 10:07 Id = 2; x = 15; y = 10 Create gateway 10:08 Id = 4; x = 65; y = 10; type = “XOR” Create edge 10:09 Id = 5; from = 2, to = 4 Create activity 10:24 Id = 6; x = 80; y = 0; name = “Reject order” Create activity 10:25 Id = 7; x = 80; y = 20; name = “Prepare order” Create gateway 10:27 Id = 8; x = 105; y = 10; type = “XOR”
  8. 8. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 8/14  CREATE_ACTIVITY  CREATE_START_EVENT  CREATE_END_EVENT  CREATE_AND  CREATE_XOR  CREATE_EDGE  MOVE_ACTIVITY  MOVE_START_EVENT  MOVE_END_EVENT  MOVE_AND  MOVE_XOR  DELETE_ACTIVITY DELETE_START_EVENT  DELETE-END_EVENT  DELETE_AND  DELETE_XOR  DELETE_EDGE  NAME_ACTIVITY  RENAME_ACTIVITY  NAME_EDGE  RENAME_EDGE Process of Process Modeling (PPM) Visualization in PPMChart time modelelements
  9. 9. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 9/14 Observations Chunked modeling Structured process modelingModeling pauses Delayed start PRIMARY RESEARCH FOCUS
  10. 10. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 10/14 Structured Process Modeling (SPM) Structured process modeling  Creating blocks ‘as a whole’ (before moving on to the creation of the rest of the model) ACT ACT X XACT Process model block
  11. 11. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 11/14 Theoretical explanation Cognitive aspects  Cognitive Load Theory (CLT) limited capacity of working memory  Cognitive Fit Theory (CFT) effect increase if task representation/modeler fits
  12. 12. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 12/14 Hypotheses H1: Structured process modeling relates to process model quality improvement H2: The quality improvement will be higher for novices than for experts (expertise in the case domain, in modeling, and/or in the modeling language) H3: The quality improvement will be higher if the task representation fits with the technique (i.e. a “breadth-first” ordering of the task description)
  13. 13. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 13/14 Methodology Controlled experiment  Pre-test  Treatment  Experiment  Compare correctness and understandability Cognitive Fit Theory  Repeat with experts  3 different task description orders Pre-test: case 1 ST1 & QT1 Treatment Experiment: case 2 Experiment: case 2 SC1 & QC1 ST2 & QT2 SC2 & QC2 Fake treatment Treatment group Control group (QT2 – QT1) > (QC2 – QC1) ST2 > ST1 & QT2 > QT1 SC2 ≈ SC1 & QC2 ≈ QC1 Pre-test: case 1 Tool tutorial Tool tutorial
  14. 14. Ghent university, Economics and Business Administration jan.claes@ugent.be - www.janclaes.info COGNISE@CAiSE 2013 14/14 Contact information Jan Claes jan.claes@ugent.be http://www.janclaes.info Twitter: @janclaesbelgium Thanks for your attention! Do you know a better cognitive explanation for the observed effect of structured process modeling on process model quality?

Slides of my presentation at COGNISE workshop at CAiSE conference, 17 June 2013, Valencia, Spain

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