 | 2008 |
|---|
| 32 |       | Daniel L. Moody,
Jos van Hillegersberg:
Evaluating the Visual Syntax of UML: An Analysis of the Cognitive Effectiveness of the UMLFamily of Diagrams.
SLE 2008: 16-34 |
| 2005 |
|---|
| 31 | | Daniel L. Moody:
Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions.
Data Knowl. Eng. 55(3): 243-276 (2005) |
| 30 | | Marcela Genero Bocco,
Daniel L. Moody,
Mario Piattini:
Assessing the capability of internal metrics as early indicators of maintenance effort through experimentation.
Journal of Software Maintenance 17(3): 225-246 (2005) |
| 2004 |
|---|
| 29 | | Daniel L. Moody:
Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis.
ADBIS 2004: 129-143 |
| 2003 |
|---|
| 28 | | Daniel L. Moody:
Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental Analysis.
DEXA 2003: 77-87 |
| 27 | | Daniel L. Moody,
Guttorm Sindre:
Evaluating the effectiveness of learning interventions: an information systems case study.
ECIS 2003 |
| 26 | | Daniel L. Moody:
Measuring the quality of data models: an empirical evaluation of the use of quality metrics in practice.
ECIS 2003 |
| 25 | | Graeme G. Shanks,
Jasmina Nuredini,
Daniel Tobin,
Daniel L. Moody,
Ron Weber:
Representing things and properties in conceptual modelling: an empirical evaluation.
ECIS 2003 |
| 24 | | Daniel L. Moody:
The method evaluation model: a theoretical model for validating information systems design methods.
ECIS 2003 |
| 23 |  | Daniel L. Moody:
Dealing with Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models.
ICIS 2003: 207-221 |
| 22 | | Daniel L. Moody,
Guttorm Sindre,
Terje Brasethvik,
Arne Sølvberg:
Evaluating the Quality of Information Models: Empirical Testing of a Conceptual Model Quality Framework.
ICSE 2003: 295-307 |
| 21 | | Daniel L. Moody,
Guttorm Sindre:
Incorporating quality assurance processes into requirements analysis education.
ITiCSE 2003: 74-78 |
| 20 | | Daniel L. Moody,
Graeme G. Shanks:
Improving the quality of data models: empirical validation of a quality management framework.
Inf. Syst. 28(6): 619-650 (2003) |
| 2002 |
|---|
| 19 | | Daniel L. Moody:
Complexity effects on end user understanding of data models : An experimental comparison of large data model representation methods.
ECIS 2002 |
| 18 | | Daniel L. Moody:
Validation of a method for representing large entity relationship models : An action research study.
ECIS 2002 |
| 17 | | Daniel L. Moody:
Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective.
ER 2002: 214-231 |
| 16 | | Daniel L. Moody,
Guttorm Sindre,
Terje Brasethvik,
Arne Sølvberg:
Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework.
ER 2002: 380-396 |
| 15 | | Daniel L. Moody:
Keynote Speech: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models.
ER (Workshops) 2002: 241-242 |
| 2000 |
|---|
| 14 | | Daniel L. Moody,
Mark A. R. Kortink:
From enterprise models to dimensional models: a methodology for data warehouse and data mart design.
DMDW 2000: 5 |
| 13 | | Daniel L. Moody:
Building links between IS research and professional practice: improving the relevance and impact of IS research.
ICIS 2000: 351-360 |
| 12 | | Daniel L. Moody:
A Decomposition Method for Entity Relationship Models: A Systems Theoretic Approach.
ICSTM 2000 |
| 11 | | Daniel L. Moody:
Strategies for improving the quality of entity relationship models: a toolkit for practitioners.
IRMA Conference 2000: 1043-1045 |
| 10 | | Daniel L. Moody:
Measuring information health: a planning and evaluation tool to support IRM practice.
IRMA Conference 2000: 388-392 |
| 1999 |
|---|
| 9 | | Daniel L. Moody,
A. Flitman:
A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach.
ER 1999: 114-130 |
| 1998 |
|---|
| 8 | | Daniel L. Moody:
Metrics for Evaluating the Quality of Entity Relationship Models.
ER 1998: 211-225 |
| 7 | | Daniel L. Moody,
Graeme G. Shanks,
Peta Darke:
Improving the Quality of Entity Relationship Models - Experience in Research and Practice.
ER 1998: 255-276 |
| 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.
Australian Computer Journal 30(3): 97-110 (1998) |
| 5 | | Daniel L. Moody,
Graeme G. Shanks:
Improving the Quality of Entity Relationship Models: An Action Research Programme.
Australian Computer Journal 30(4): 129-138 (1998) |
| 1997 |
|---|
| 4 | | Daniel L. Moody:
A Multi-Level Architecture for Representing Enterprise Data Models.
ER 1997: 184-197 |
| 1996 |
|---|
| 3 | | Daniel L. Moody:
Graphical Entity Relationship Models: Towards a More User Understandable Representation of Data.
ER 1996: 227-244 |
| 1995 |
|---|
| 2 | | Daniel L. Moody:
The Seven Habits of Highly Effective Data Modelers (and Object Modelers).
OOER 1995: 436-437 |
| 1994 |
|---|
| 1 | | Daniel L. Moody,
Graeme G. Shanks:
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models.
ER 1994: 94-111 |
