Evaluating the quality of process models: Empirical testing of a quality framework

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2503, Issue , 2002, Pages 380-396

  Moody, Daniel L ^a,b   Sindre, Guttorm ^a   Brasethvik, Terje ^a   Sølvberg, Arne ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

MODELING LANGUAGES;

CONCEPTUAL MODEL QUALITY; EMPIRICAL ANALYSIS; EMPIRICAL TESTING; IS DESIGN; PROCESS MODEL; WORKFLOW MODELLING;

QUALITY CONTROL;

EID: 84974678442     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45816-6_36     Document Type: Conference Paper

References (59)

1. Alexander, C. (1968): Notes On The Synthesis Of Form, Boston: Harvard University Press.
2. Babbie, E.R. (1998): The Practice of Social Research, Belmont, California: Wadsworth Publishing.
3. Batini, C., S. Ceri, and S.B. Navathe (1992): Conceptual Database Design: An Entity Relationship Approach, Redwood City, California: Benjamin Cummings.
4. Batra, D., J.A. Hoffer, and R.P. Bostrom (1990): Comparing Representations with Relational and EER Models, Communications of the ACM, 33 (2), February: p. 126-139.
5. Batra, D. and J. Davis (1992): Conceptual Data Modelling In Database Design: Similarities And Differences Between Expert And Novice Designers, Interna-tional Journal Of Man-Machine Studies, 37: p. 83-101.
6. Bloom, B. (1984): Taxonomy of Educational Objectives, New York: Longman.
7. Bock, D.B. and T. Ryan (1993): Accuracy in Modelling with Extended Entity Relationship and Object Oriented Data Model, Journal Of Database Manage-ment, 4 (4): p. 30-39.
8. Bodart, F., A. Patel, M. Sim, and R. Weber (2001): Should the Optional Property Construct be used in Conceptual Modelling: A Theory and Three Empirical Tests, Information Systems Research, 12 (4).
9. Bubenko, J.A. (1986): Information Systems Methodologies-A Research View, In T.W. Olle, H.G. Sol, and A.A. Verrijn-Stuart (Eds.), Information Systems De-sign Methodologies: Improving The Practice: North-Holland.
10. Chaiyasut, P. and G.G. Shanks (1994): Conceptual Data Modelling Process: A Study Of Novice And Expert Data Modellers, In T. Halpin and R. Meersman (Eds.), Proceedings Of The 1st International Conference On Object Role Mod-elling, Magnetic Island, Queensland, Australia, July.
11. Chau, P.Y.K. (1996): An Empirical Assessment of a Modified Technology Acceptance Model, Journal of Management Information Systems, 13 (2).
12. Cooper, D.R. and P.S. Schindler (1998): Business Research Methods (6th edi-tion), 6th ed, Singapore: McGraw-Hill International.
13. Curtis, B. (1986): By The Way, Did Anyone Study Any Real Programmers?, In Empirical Studies of Programmers, E. Soloway and S. Iyengar (Eds.), Ablex: Norward, N.J.
14. Davis, F.D., R.P. Bagozzi, and P.R. Warshaw (1989): User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Manage-ment Science, 35 (8): p. 982-1003.
15. Fitzgerald, G. (1991): Validating New Information Systems Techniques: A Retrospective Analysis, In H.E. Nissen, H.K. Klein, and R. Hirschheim (Eds.), Information Systems Research: Contemporary Approaches And Emergent Tra-ditions: North-Holland.
16. Galliers, R.D. (1994): Relevance and Rigour in Information Systems Research: Some Personal Reflections on Issues Facing the Information Systems Research Community, In Proceedings of the IFIP TC8 Conference on Business Process Reengineering: Information Systems and Challenges, Gold Coast, Australia.
17. Hardgrave, B.C. and N.P. Dalal (1995): Comparing Object Oriented and Extended Entity Relationship Models, Journal Of Database Management, 6 (3).
18. Hu, P.J. and P.Y.K. Chau (1999): Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology, Journal of Management Information Systems, 16 (2), Fall: p. 91-113.
19. Ivari, J. (1986): Dimensions Of Information Systems Design: A Framework For A Long Range Research Program, Information Systems Journal, (June).
20. Kaplan, B. and D. Duchon (1988): Combining Qualitative and Quantitative Methods in Information Systems Research: A Case Study, MIS Quarterly, December.
21. Keen, P.G.W. (1991): Relevance and Rigour in Information Systems Research: Improving Quality, Confidence, Cohesion and Impact, In Information Systems Research: Contemporary Approaches and Emergent Traditions, H.-E. Nissen, H.K. Klein, and R. Hirschheim (Eds.), Elsevier Science Publishers (North Holland).
22. Kesh, S. (1995): Evaluating The Quality Of Entity Relationship Models, Infor-mation And Software Technology, 37 (12).
23. Krogstie, J. (1998): Integrating the Understanding of Quality in Requirements Specification and Conceptual Modelling, Software Engineering Notes, 28 (1).
24. Lauesen, S. and O. Vinter (2000): Preventing Requirement Defects, In Proceedings of the Sixth International Workshop on Requirements Engineering: Foundation for Software Quality (REFSQ’2000), Stockholm, Sweden, June 5-6 2000.
25. Lee, H. and B.G. Choi (1998): A Comparative Study of Conceptual Data Modelling Techniques, Journal Of Database Management, 9 (2), Spring: p. 26-35.
26. Levitin, A. and T. Redman (1994): Quality Dimensions of a Conceptual View, Information Processing and Management, 31 (1).
27. Lindland, O.I., G. Sindre, and A. Sølvberg (1994): Understanding Quality In Conceptual Modelling, IEEE Software, 11 (2), March: p. 42-49.
28. Maiden, N. and A. Sutcliffe (1992): Analysing the Novice Analyst: Cognitive Models in Software Engineering, International Journal Of Man Machine Stud-ies, 367: p. 719-740.
29. Martin, J. (1989): Information Engineering, Englewood Cliffs, N.J.: Prentice Hall, 3 v.
30. Moody, D.L. and G.G. Shanks (1994): What Makes A Good Data Model? Evaluating the Quality of Entity Relationship Models, In P. Loucopolous (Ed.) Proceedings of the Thirteenth International Conference on the Entity Relation-ship Approach, Manchester, England, December 14-17.
31. Moody, D.L. (1998): Metrics for Evaluating the Quality of Entity Relationship Models, In T.W. Ling, S. Ram, and M.L. Lee (Eds.), Proceedings of the Seven-teenth International Conference on Conceptual Modelling (ER '98), Singapore: Elsevier Lecture Notes in Computer Science, November 16-19.
32. Moody, D.L. and G.G. Shanks (1998): Evaluating and Improving the Quality of Entity Relationship Models: An Action Research Programme, Australian Com-puter Journal, November.
33. Moody, D.L. and G.G. Shanks (1998): What Makes A Good Data Model? A Framework For Evaluating And Improving The Quality Of Entity Relationship Models, Australian Computer Journal, August.
34. Moody, D.L., G.G. Shanks, and P. Darke (1998): Evaluating and Improving the Quality of Entity Relationship Models: Experiences in Research and Practice, In T.W. Ling, S. Ram, and M.L. Lee (Eds.), Proceedings of the Seventeenth Inter-national Conference on Conceptual Modelling (ER '98), Singapore: Elsevier Lecture Notes in Computer Science, November 16-19.
35. Moody, D.L. (2000): Building Links Between IS Research and Professional Practice: Improving the Relevance and Impact of IS Research, In R.A. Weber and B. Glasson (Eds.), International Conference on Information Systems (ICIS'00), Brisbane, Australia, December 11-13.
36. Moody, D.L. (2000): Strategies for Improving the Quality of Entity Relationship Models, In Information Resource Management Association (IRMA) Conference, Anchorage, Alaska: Idea Group Publishing, May 21-24.
37. Moody, D.L. (2001): Dealing with Complexity: A Practical Method for Repre-senting Large Entity Relationship Models (PhD Thesis), Melbourne, Australia: Department Of Information Systems, University of Melbourne.
38. Morris, C.W. (1970): Foundations of the Theory of Signs, Chicago: Chicago University Press.
39. Neuman, W.L. (2000): Social Research Methods-Qualitative and Quantitative Approaches (4th edition), Needham Heights, MA: Allyn and Bacon.
40. Nordbotten, J.C. and M.E. Crosby (1999): The Effect of Graphic Style on Data Model Interpretation, Information Systems Journal, 9.
41. Nunally, J. (1978): Psychometric Theory (2nd edition), New York: McGraw Hill.
42. Olle, T.W., H.G. Sol, and A.A. Verrijn-Stuart, eds. Information Systems Design Methodologies: A Comparative Review. 1982, North-Holland: Amsterdam.
43. Olle, T.W., H.G. Sol, and C.J. Tully, eds. Information Systems Design Method-ologies: A Feature Analysis. 1983, North-Holland: Amsterdam.
44. Olle, T.W., H.G. Sol, and A.A. Verrijn-Stuart, eds. Information Systems Design Methodologies: Improving the Practice. 1986, North-Holland: Amsterdam.
45. Rosemann, M., W. Sedera, and D. Sedera (2001): Testing a Framework for the Quality of Process Models: A Case Study, In Fifth Pacific Asia Conference on Informaiton Systems (PACIS'2001), Seoul, Korea
46. Schuette, R. and T. Rotthowe (1998): The Guidelines Of Modelling: An Approach To Enhance The Quality In Information Models, In Proceedings Of The Seventeenth International Conference On Conceptual Modelling (ER '98), Singapore: Elsevier Lecture Notes in Computer Science, November 16-19.
47. Shanks, G.G., G.C. Simsion, and M. Rembach (1993): The Role Of Experience In Conceptual Data Modelling, In Fourth Australian Information Systems Con-ference, Brisbane, Australia
48. Shoval, P. and M. Even-Chaime (1987): Database Schema Design: An Experimental Comparison Between Normalisation and Information Analysis, Data-base, 18 (3), Spring: p. 30-39.
49. Shoval, P. and S. Shiran (1997): Entity-Relationship and Object-Oriented Data Modeling: An Experimental Comparison of Design Quality, Data & Knowledge Engineering, 21: p. 297-315.
50. Standish Group (1995): The CHAOS Report into Project Failure, The Standish Group International Inc. Available on-line at http: //www.standishgroup.com/visitor/chaos.htm.
51. Standish Group (1996): Unfinished Voyages, The Standish Group International Inc. available on-line at http: //www.standishgroup.com/visitor/voyages.htm.
52. van Vliet, H. (2000): Software Engineering: Principles and Practice (2nd edition): John Wiley & Sons.
53. von Halle, B. (1991): Data: Asset or Liability?, Database Programming and Design, 4 (7), July.
54. Weber, R.A. (1996): Are Attributes Entities? A Study Of Database Designers’ Memory Structures, Information Systems Research, June.
55. Weber, R.A. (1997): Ontological Foundations Of Information Systems, Melbourne, Australia: Coopers And Lybrand Accounting Research Methodology Monograph No. 4, Coopers And Lybrand.
56. Westrup, C. (1993): Information Systems Methodologies in Use, Journal of Information Technology, 8.
57. Witt, G.C. and G.C. Simsion (2000): Data Modeling Essentials: Analysis, De-sign, and Innovation, The Coriolis Group.
58. Wynekoop, J.L. and N.L. Russo (1997): Studying Systems Development Methodologies: An Examination Of Research Methods, Information Systems Journal, 7 (1), January.
59. Zultner, R.E. (1992): The Deming Way: Total Quality Management for Software, In Proceedings of Total Quality Management for Software Conference, Washington, DC, April.