Influence factors for local comprehensibility of process models

International Journal of Human Computer Studies

Volumn 82, Issue , 2015, Pages 96-110

  Figl, Kathrin ^a   Laue, Ralf ^b  

^a VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

^b UNIVERSITY OF APPLIED SCIENCES ZWICKAU   (Germany)

Author keywords

Business process models; Cognitive complexity; Deductive reasoning; Model comprehension

Indexed keywords

ABSTRACTING; FLOW PATTERNS;

ACADEMIC LITERATURE; BUSINESS PROCESS MODEL; COGNITIVE COMPLEXITY; COGNITIVE PSYCHOLOGY; DEDUCTIVE REASONING; HUMAN UNDERSTANDING; PARALLEL EXECUTIONS; PROCESS MODELING;

PROCESS ENGINEERING;

EID: 84936797736     PISSN: 10715819     EISSN: 10959300     Source Type: Journal    
DOI: 10.1016/j.ijhcs.2015.05.007     Document Type: Article

References (75)

1. Aranda, J., Ernst, N., Horkoff, J., Easterbrook, S.M., 2007. A framework for empirical evaluation of model comprehensibility. In: Proceedings of the 29th International Conference on Software Engineering (ICSE'07). International Workshop on Modeling in Software Engineering (MiSE-07).
2. A.D. Baddeley Working memory Science 255 1992 556 559
3. T. Ball, and S.G. Eick Software visualization in the large Computer 29 1996 33 43
4. A.G. Bateson, R.A. Alexander, and M.D. Murphy Cognitive processing differences between novice and expert computer programmers Int. J. Man-Mach. Stud. 26 1987 649 660
5. D. Batra, and J.G. Davis Conceptual data modelling in database design: similarities and differences between expert and novice designers Int. J. Man-Mach. Stud. 37 1992 83 101
6. S. Beller, and H. Spada The logic of content effects in propositional reasoning: the case of conditional reasoning with a point of view Think. Reason. 9 2003 335 378
7. M. Braine, D. O'Brien, I. Noveck, M. Samuels, B. Lea, S. Fisch, and Y. Yang Predicting intermediate and multiple conclusions in propositional logic inference problems: further evidence for a mental logic J. Exp. Psychol.: Gen. 124 1995 263 292
8. A. Burton-Jones, Y. Wand, and R. Weber Guidelines for empirical evaluations of conceptual modeling grammars J. Assoc. Inform. Syst. 10 2009 495 532
9. S.N. Cant, D.R. Jeffery, and B. Henderson-Sellers A conceptual model of cognitive complexity of elements of the programming process Inform. Softw. Technol. 37 1995 351 362
10. S.C. Cater, S.S. Iyengar, and J. Fuller Computation of logical effort in high level languages Comput. Lang. 9 1984 133 148
11. B. Curtis, M.I. Kellner, and J. Over Process modeling Commun. ACM 35 1992 75 90
12. T.E. Damer Attacking Faulty Reasoning: A Practical Guide to Fallacy-Free Arguments 7th edition. 2013 Wadsworth Publishing Boston, USA
13. S.P. Davies Knowledge restructuring and the acquisition of programming expertise Int. J. Human-Comput. Stud. 40 1994 703 726
14. W. De Neys, W. Schaeken, and G. d'Ydewalle Working memory and everyday conditional reasoning: retrieval and inhibition of stored counterexamples Think. Reason. 11 2005 349 381
15. F. Détienne Expert programming knowledge: a schema-based approach J.-M. Hoc, T.R.G. Green, R. samurcay, D. Gilmore, 1990 Psychology of Programming. Academic Press, People and Computer Series 205 222
16. M. Dumas, M. La Rosa, J. Mendling, and H.A. Reijers Fundamentals of Business Process Management 2013 Springer Berlin, Germany
17. J.S.B.T. Evans On the problems of interpreting reasoning data: logical and psychological approaches Cognition 1 1972 373 384
18. K. Figl, J. Mendling, and M. Strembeck The influence of notational deficiencies on process model comprehension J. Assoc. Inform. Syst. 14 2013 312 338
19. K. Figl, J. Recker, and J. Mendling A study on the effects of routing symbol design on process model comprehension Dec. Support Syst. 54 2013 1104 1118 10.1016/j.dss.2012.10.037
20. A. Gemino, and Y. Wand A framework for empirical evaluation of conceptual modeling techniques Requir. Eng. 9 2004 248 260
21. D.J. Gilmore Expert programming knowledge: a strategic approach J.-M. Hoc, T.R.G. Green, R. Samurcay, D. Gilmore, Psychology of Programming, People and Computer Series 1990 223 234
22. T.M. Green, W. Ribarsky, and B. Fisher Building and applying a human cognition model for visual analytics Inform. Vis. 8 2009 1 13
23. A.S. Guceglioglu, and O. Demirors Using software quality characteristics to measure business process quality W.M.P. van der Aalst, B. Benatallah, F. Casati, F. Curbera, Business Process Management 2005 Springer Berlin/Heidelberg 374 379
24. J.-M. Hoc, T.M. Green, R. Samurçay, and D.J. Gilmore Psychology of Programming 1990 European Association of Cognitive Ergonomics and Academic Press
25. C. Houy, P. Fettke, and P. Loos Understanding understandability of conceptual models - what are we actually talking about? P. Atzeni, D. Cheung, S. Ram, Conceptual Modeling 2012 Springer Berlin, Heidelberg 64 77
26. Houy, C., Fettke, P., Loos, P., 2014. On the theoretical foundations of research into the understandability of business process models. In: Proceedings of the Twenty Second European Conference on Information Systems, Tel Aviv.
27. P.N. Johnson-Laird Deductive reasoning Wiley Interdiscip. Rev.: Cogn. Sci. 1 2010 8 17
28. P.N. Johnson-Laird, and P.C. Wason A theoretical analysis of insight into a reasoning task Cogn. Psychol. 1 1970 134 148
29. M. La Rosa, P. Wohed, J. Mendling, A.H.M. ter Hofstede, H.A. Reijers, and W.M.P. van der Aalst Managing process model complexity via abstract syntax modifications IEEE Trans. Ind. Inform. 7 2011 614 629
30. K.B. Lassen, and W.M.P. van der Aalst Complexity metrics for workflow nets Inform. Softw. Technol. 51 2009 610 626
31. R. Laue, and A. Gadatsch Measuring the understandability of business process models - are we asking the right questions? Business Process Management Workshops. Lecture Notes in Business Information Processing 2011 Springer Berlin Heidelberg 37 48
32. H. Leopold, R.-H. Eid-Sabbagh, J. Mendling, L.G. Azevedo, and F.A. Baião Detection of naming convention violations in process models for different languages Decis. Support Syst. 56 2013 310 325
33. N. Marcus, M. Cooper, and J. Sweller Understanding Instructions J. Educ. Psychol. 88 1996 49 63
34. H. Markovits, C. Doyon, and M. Simoneau Individual differences in working memory and conditional reasoning with concrete and abstract content Think. Reason. 8 2002 97 107
35. Matlock-Hetzel, S., 1997. Basic Concepts in Item and Test Analysis, Annual Meeting of the Southwest Educational Research Association, Austin.
36. J. Melcher, J. Mendling, H.A. Reijers, and D. Seese On measuring the understandability of process models, business process management workshops Lecture Notes in Business Information Processing 2010 Springer Berlin Heidelberg 465 476
37. Mendling, J., Moser, M., Neumann, G., Verbeek, H.M.W., van Dongen, B.F., van der Aalst, W.M.P., 2006. A Quantitative Analysis of Faulty EPCs in the SAP Reference Model. BPM Center Report, BPM-06-08, BPMCenter.org
38. J. Mendling, G. Neumann, and W.M.P. van der Aalst Understanding the occurrence of errors in process models based on metrics OTM Conferences. Lecture Notes in Computer Science 2007 113 130
39. J. Mendling, H. Reijers, and W.M.P. van der Aalst Seven process modeling guidelines (7PMG) Inform. Softw. Technol. 2010 52
40. Mendling, J., Reijers, H.A., Cardoso, J., 2007b. What makes process models understandable. In: Gustavo Alonso, Peter Dadam, Michael Rosemann (Eds.), Proceedings of the 5th International Conference on Business Process Management BPM. pp. 48-63.
41. J. Mendling, H.A. Reijers, and J. Recker Activity labeling in process modeling: empirical insights and recommendations Inform. Syst. 35 2010 467 482
42. J. Mendling, and M. Strembeck Influence factors of understanding business process models W. Abramowicz, D. Fensel, Business Information Systems - BIS 2008 2008 Springer 142 153
43. J. Mendling, M. Strembeck, and J. Recker Factors of process model comprehension - findings from a series of experiments Decis. Support Syst. 53 2012 195 206
44. A. Naess A Study of 'Or' Synthese 13 1961 49 60
45. Newbold, N., Gillam, L., 2008. Towards automatic document quality assurance. In: Workshop on Natural Language Processing resources, algorithms and tools for authoring aids. Language Resources and Evaluation Conference, Marrakech, Morocco, pp. 27.
46. Object Management Group, 2013. Business Process Model and Notation (BPMN) Version 2.0.2.
47. Patig, S., 2008. A practical guide to testing the understandability of notations. In: Proceedings of the fifth Asia-Pacific conference on Conceptual Modelling, vol. 79. Australian Computer Society, Inc., pp. 49-58.
48. M. Petre Why looking isn't always seeing: readership skills and graphical programming Commun. ACM 38 1995 33 44
49. P. Pichler, B. Weber, S. Zugal, J. Pinggera, J. Mendling, and H.A. Reijers Imperative versus declarative process modeling languages: an empirical investigation Business Process Management Workshops. Lecture Notes in Business Information Processing 2012 383 394
50. K. Preacher, D. Rucker, R. MacCallum, and W. Nicewander Use of the extreme groups approach: a critical reexamination and new recommendations Psychol. Methods 10 2005 178 192
51. J. Recker, N. Safrudin, and M. Rosemann How novices design business processes Inform. Syst. 37 2012 557 573
52. H.A. Reijers, T. Freytag, J. Mendling, and A. Eckleder Syntax highlighting in business process models Decis. Support Syst. 51 2011 339 349
53. H.A. Reijers, and J. Mendling A study into the factors that influence the understandability of business process models IEEE Trans. Syst., Man, Cybern. - Part A 41 2011 449 462
54. S. Rinderle, M. Reichert, and P. Dadam On dealing with structural conflicts between process type and instance changes J. Desel, B. Pernici, M. Weske, Business Process Management 2004 Springer Berlin Heidelberg 274 289
55. R.S. Rist Schema creation in programming Cogn. Sci. 13 1989 389 414
56. Rolon, E., Sanchez, L., Garcia, F., Ruiz, F., Piattini, M., Caivano, D., Visaggio, G., 2009. Prediction models for BPMN usability and maintainability. In: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing. IEEE Computer Society, pp. 383-390.
57. M. Rosemann Potential pitfalls of process modeling: Part A. Business Process Management Journal 12 2006 249 254
58. L. Sánchez-González, F. García, F. Ruiz, and J. Mendling Quality indicators for business process models from a gateway complexity perspective Inform. Softw. Technol. 54 2012 1159 1174
59. G. Shanks Conceptual data modelling: an empirical study of expert and novice data modellers Aust. J. Inform. Syst. 4 1997 63 73
60. J. Shao, and Y. Wang A new measure of software complexity based on cognitive weights Can. J. Electr. Comput. Eng. 28 2003 69 74
61. J. Siegmund, and J. Schumann Confounding parameters on program comprehension: a literature survey Empir. Softw. Eng. 2014 1 34
62. H.-M. Süß, K. Oberauer, W.W. Wittmann, O. Wilhelm, and R. Schulze Working-memory capacity explains reasoning ability - and a little bit more Intelligence 30 2002 261 288
63. J. Sweller Cognitive load theory, learning difficulty, and instructional design Learn. Instruct. 4 1994 295 312
64. D.P. Tegarden, S.D. Sheetz, and D.E. Monarchi A software complexity model of object-oriented systems Decis. Support Syst. 13 1995 241 262
65. D.A. Umphress, T.D. Hendrix, Ii, J.H. Cross, and S. Maghsoodloo Software visualizations for improving and measuring the comprehensibility of source code Sci. Comput. Program. 60 2006 121 133
66. W.M.P. van der Aalst, A.H.M. ter Hofstede, B. Kiepuszewski, and A.P. Barros Workflow patterns Distrib. Parallel Databases 14 2003 5 51
67. I. Vanderfeesten, H.A. Reijers, and W.M.P.v.d. Aalst Evaluating workflow process designs using cohesion and coupling metrics Comput. Ind. 59 2008 420 437
68. J. Vanhatalo, H. Völzer, and J. Koehler The refined process structure tree Data Knowl. Eng. 68 2009 793 818
69. D. Weitlaner, A. Guettinger, and M. Kohlbacher Intuitive comprehensibility of process models H. Fischer, J. Schneeberger, S-BPM ONE - Running Processes 2013 Springer Berlin Heidelberg 52 71
70. N.E. Wetherick, and K.J. Gilhooly 'Atmosphere', matching, and logic in syllogistic reasoning Curr. Psychol. 14 1995 169 178
71. J.M. Wing Computational thinking and thinking about computing Philos. Trans. R. Soc. A: Math., Phys. Eng. Sci. 366 2008 3717 3725
72. C. Wohlin, P. Runeson, M. Höst, M. Ohlsson, B. Regnell, and A. Wesslén Experimentation in Software Engineering - An Introduction 2000 Kluwer Academic Publishers Boston MA
73. R.S. Woodworth, and S.B. Sells An atmosphere effect in formal syllogistic reasoning J. Exp. Psychol. 18 1935 451 460
74. Yang, J., Hendrix, T.D., Chang, K.H., Umphress, D., 2005. An empirical validation of complexity profile graph. In: Proceedings of the 43rd Annual Southeast Regional Conference, vol. 1. ACM, Kennesaw, Georgia, pp. 143-149.
75. A. Zendler, and C. Spannagel Empirical foundation of central concepts for computer science education J. Educ. Resour. Comput 8 2008 1 15