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Daniel L. Moody: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel L. Moody, Graeme G. Shanks
    What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models. [Citation Graph (9, 10)][DBLP]
    ER, 1994, pp:94-111 [Conf]
  2. Daniel L. Moody
    Graphical Entity Relationship Models: Towards a More User Understandable Representation of Data. [Citation Graph (4, 10)][DBLP]
    ER, 1996, pp:227-244 [Conf]
  3. Daniel L. Moody
    A Multi-Level Architecture for Representing Enterprise Data Models. [Citation Graph (2, 13)][DBLP]
    ER, 1997, pp:184-197 [Conf]
  4. Daniel L. Moody
    Metrics for Evaluating the Quality of Entity Relationship Models. [Citation Graph (2, 10)][DBLP]
    ER, 1998, pp:211-225 [Conf]
  5. Daniel L. Moody, Graeme G. Shanks, Peta Darke
    Improving the Quality of Entity Relationship Models - Experience in Research and Practice. [Citation Graph (2, 10)][DBLP]
    ER, 1998, pp:255-276 [Conf]
  6. Daniel L. Moody, Graeme G. Shanks
    What Makes a Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models. [Citation Graph (1, 0)][DBLP]
    Australian Computer Journal, 1998, v:30, n:3, pp:97-110 [Journal]
  7. Daniel L. Moody
    Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis. [Citation Graph (0, 0)][DBLP]
    ADBIS, 2004, pp:129-143 [Conf]
  8. Daniel L. Moody
    Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental Analysis. [Citation Graph (0, 0)][DBLP]
    DEXA, 2003, pp:77-87 [Conf]
  9. Daniel L. Moody, Mark A. R. Kortink
    From enterprise models to dimensional models: a methodology for data warehouse and data mart design. [Citation Graph (0, 0)][DBLP]
    DMDW, 2000, pp:5- [Conf]
  10. Daniel L. Moody
    Complexity effects on end user understanding of data models : An experimental comparison of large data model representation methods. [Citation Graph (0, 0)][DBLP]
    ECIS, 2002, pp:- [Conf]
  11. Daniel L. Moody
    Validation of a method for representing large entity relationship models : An action research study. [Citation Graph (0, 0)][DBLP]
    ECIS, 2002, pp:- [Conf]
  12. Daniel L. Moody
    Measuring the quality of data models: an empirical evaluation of the use of quality metrics in practice. [Citation Graph (0, 0)][DBLP]
    ECIS, 2003, pp:- [Conf]
  13. Daniel L. Moody
    The method evaluation model: a theoretical model for validating information systems design methods. [Citation Graph (0, 0)][DBLP]
    ECIS, 2003, pp:- [Conf]
  14. Daniel L. Moody, Guttorm Sindre
    Evaluating the effectiveness of learning interventions: an information systems case study. [Citation Graph (0, 0)][DBLP]
    ECIS, 2003, pp:- [Conf]
  15. Graeme G. Shanks, Jasmina Nuredini, Daniel Tobin, Daniel L. Moody, Ron Weber
    Representing things and properties in conceptual modelling: an empirical evaluation. [Citation Graph (0, 0)][DBLP]
    ECIS, 2003, pp:- [Conf]
  16. Daniel L. Moody
    Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective. [Citation Graph (0, 0)][DBLP]
    ER, 2002, pp:214-231 [Conf]
  17. Daniel L. Moody
    Keynote Speech: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models. [Citation Graph (0, 0)][DBLP]
    ER (Workshops), 2002, pp:241-242 [Conf]
  18. Daniel L. Moody
    The Seven Habits of Highly Effective Data Modelers (and Object Modelers). [Citation Graph (0, 0)][DBLP]
    OOER, 1995, pp:436-437 [Conf]
  19. Daniel L. Moody, A. Flitman
    A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach. [Citation Graph (0, 7)][DBLP]
    ER, 1999, pp:114-130 [Conf]
  20. Daniel L. Moody, Guttorm Sindre, Terje Brasethvik, Arne Sølvberg
    Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework. [Citation Graph (0, 0)][DBLP]
    ER, 2002, pp:380-396 [Conf]
  21. Daniel L. Moody
    Building links between IS research and professional practice: improving the relevance and impact of IS research. [Citation Graph (0, 0)][DBLP]
    ICIS, 2000, pp:351-360 [Conf]
  22. Daniel L. Moody
    Dealing with Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models. [Citation Graph (0, 0)][DBLP]
    ICIS, 2003, pp:207-221 [Conf]
  23. Daniel L. Moody, Guttorm Sindre, Terje Brasethvik, Arne Sølvberg
    Evaluating the Quality of Information Models: Empirical Testing of a Conceptual Model Quality Framework. [Citation Graph (0, 0)][DBLP]
    ICSE, 2003, pp:295-307 [Conf]
  24. Daniel L. Moody
    A Decomposition Method for Entity Relationship Models: A Systems Theoretic Approach. [Citation Graph (0, 0)][DBLP]
    ICSTM, 2000, pp:- [Conf]
  25. Daniel L. Moody
    Measuring information health: a planning and evaluation tool to support IRM practice. [Citation Graph (0, 0)][DBLP]
    IRMA Conference, 2000, pp:388-392 [Conf]
  26. Daniel L. Moody
    Strategies for improving the quality of entity relationship models: a toolkit for practitioners. [Citation Graph (0, 0)][DBLP]
    IRMA Conference, 2000, pp:1043-1045 [Conf]
  27. Daniel L. Moody, Graeme G. Shanks
    Improving the Quality of Entity Relationship Models: An Action Research Programme. [Citation Graph (0, 0)][DBLP]
    Australian Computer Journal, 1998, v:30, n:4, pp:129-138 [Journal]
  28. Daniel L. Moody
    Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2005, v:55, n:3, pp:243-276 [Journal]
  29. Daniel L. Moody, Graeme G. Shanks
    Improving the quality of data models: empirical validation of a quality management framework. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2003, v:28, n:6, pp:619-650 [Journal]
  30. Marcela Genero Bocco, Daniel L. Moody, Mario Piattini
    Assessing the capability of internal metrics as early indicators of maintenance effort through experimentation. [Citation Graph (0, 0)][DBLP]
    Journal of Software Maintenance, 2005, v:17, n:3, pp:225-246 [Journal]

  31. The "physics" of notations: a scientific approach to designing visual notations in software engineering. [Citation Graph (, )][DBLP]


  32. Incorporating quality assurance processes into requirements analysis education. [Citation Graph (, )][DBLP]


  33. Evaluating the Visual Syntax of UML: An Analysis of the Cognitive Effectiveness of the UMLFamily of Diagrams. [Citation Graph (, )][DBLP]


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