default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel L. Moody
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2010
[j10]Graeme G. Shanks
, Daniel L. Moody, Jasmina Nuredini, Daniel Tobin, Ron Weber:
Representing Classes of Things and Properties in General in Conceptual Modelling: An Empirical Evaluation. J. Database Manag. 21(2): 1-25 (2010)- [j9]Daniel Laurence Moody, Patrick Heymans, Raimundas Matulevicius:
Visual syntax does matter: improving the cognitive effectiveness of the i* visual notation. Requir. Eng. 15(2): 141-175 (2010) - 2009
- [j8]Daniel L. Moody:
The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering. IEEE Trans. Software Eng. 35(6): 756-779 (2009) - 2005
- [j7]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) - [j6]Marcela Genero Bocco, Daniel L. Moody, Mario Piattini:
Assessing the capability of internal metrics as early indicators of maintenance effort through experimentation. J. Softw. Maintenance Res. Pract. 17(3): 225-246 (2005) - 2003
- [j5]Daniel L. Moody:
Using the World Wide Web to Connect Research and Professional Practice: Towards Evidence-Based Practice. Informing Sci. Int. J. an Emerg. Transdiscipl. 6: 31-48 (2003) - [j4]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) - [j3]Guttorm Sindre, Daniel L. Moody, Terje Brasethvik, Arne Sølvberg:
Introducing Peer Review in an IS Analysis Course. J. Inf. Syst. Educ. 14(1): 101-119 (2003) - 1998
- [j2]Daniel L. Moody, Graeme G. Shanks:
What Makes a Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models. Aust. Comput. J. 30(3): 97-110 (1998) - [j1]Daniel L. Moody, Graeme G. Shanks:
Improving the Quality of Entity Relationship Models: An Action Research Programme. Aust. Comput. J. 30(4): 129-138 (1998)
Conference and Workshop Papers
- 2013
- [c38]Patrice Caire, Nicolas Genon, Patrick Heymans, Daniel Laurence Moody:
Visual notation design 2.0: Towards user comprehensible requirements engineering notations. RE 2013: 115-124 - 2012
- [c37]Nicolas Genon, Patrice Caire, Hubert Toussaint, Patrick Heymans, Daniel Laurence Moody:
Towards a More Semantically Transparent i* Visual Syntax. REFSQ 2012: 140-146 - 2010
- [c36]Daniel L. Moody, Maria-Eugenia Iacob, Chintan Amrit, Roland Müller:
In Search of Paradigms: Identifying the Theoretical Foundations of the IS Field. ECIS 2010: 43 - [c35]Daniel L. Moody:
The "physics" of notations: a scientific approach to designing visual notations in software engineering. ICSE (2) 2010: 485-486 - 2009
- [c34]Frédéric Adam, Sven A. Carlsson, Ralph Sprague, David Sammon, Graeme G. Shanks, Daniel L. Moody, Christina Keller:
Panel: IS PhD research in the 21st century: A tale of candidates and their supervisors. ECIS 2009: 3026 - [c33]Daniel Laurence Moody, Patrick Heymans, Raimundas Matulevicius:
Improving the Effectiveness of Visual Representations in Requirements Engineering: An Evaluation of i* Visual Syntax. RE 2009: 171-180 - 2008
- [c32]Johan te Winkel, Daniel L. Moody, Chintan Amrit:
Desperately Avoiding Bureaucracy: Modularity as a Strategy for Organisational Innovation. ECIS 2008: 2330-2341 - [c31]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 - 2004
- [c30]Daniel L. Moody:
Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis. ADBIS 2004: 129-143 - 2003
- [c29]Daniel L. Moody:
Real World Testing of a Method for "Modularising" Large Data Models: An Action Research Programme. ACIS 2003 - [c28]Daniel L. Moody, Mark A. R. Kortink:
From ER Models to Star Schemas: Mapping From Operational Databases to Data Warehouse Designs. ACIS 2003 - [c27]Daniel L. Moody, Guttorm Sindre:
Managing Complexity in Object Oriented Analysis: Adapting UML for Modelling Large Scale Information Systems. ACIS 2003 - [c26]Daniel L. Moody:
Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental Analysis. DEXA 2003: 77-87 - [c25]Daniel L. Moody, Guttorm Sindre:
Evaluating the effectiveness of learning interventions: an information systems case study. ECIS 2003: 1311-1326 - [c24]Daniel L. Moody:
The method evaluation model: a theoretical model for validating information systems design methods. ECIS 2003: 1327-1336 - [c23]Daniel L. Moody:
Measuring the quality of data models: an empirical evaluation of the use of quality metrics in practice. ECIS 2003: 1337-1352 - [c22]Graeme G. Shanks, Jasmina Nuredini, Daniel Tobin, Daniel L. Moody, Ron Weber:
Representing things and properties in conceptual modelling: an empirical evaluation. ECIS 2003: 1775-1785 - [c21]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 - [c20]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 - [c19]Daniel L. Moody, Guttorm Sindre:
Incorporating quality assurance processes into requirements analysis education. ITiCSE 2003: 74-78 - 2002
- [c18]Daniel L. Moody:
Validation of a method for representing large entity relationship models : An action research study. ECIS 2002: 391-405 - [c17]Daniel L. Moody:
Complexity effects on end user understanding of data models : An experimental comparison of large data model representation methods. ECIS 2002: 482-496 - [c16]Daniel L. Moody:
Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective. ER 2002: 214-231 - [c15]Daniel L. Moody:
Keynote Speech: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models. ER (Workshops) 2002: 241-242 - [c14]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 - 2000
- [c13]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 - [c12]Daniel L. Moody:
Building links between IS research and professional practice: improving the relevance and impact of IS research. ICIS 2000: 351-360 - [c11]Daniel L. Moody:
A Decomposition Method for Entity Relationship Models: A Systems Theoretic Approach. ICSTM 2000 - [c10]Daniel L. Moody:
Measuring information health: a planning and evaluation tool to support IRM practice. IRMA Conference 2000: 388-392 - [c9]Daniel L. Moody:
Strategies for improving the quality of entity relationship models: a toolkit for practitioners. IRMA Conference 2000: 1043-1045 - 1999
- [c8]Daniel L. Moody, Peter Walsh:
Measuring the Value Of Information - An Asset Valuation Approach. ECIS 1999: 496-512 - [c7]Daniel L. Moody, Andrew Flitman:
A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach. ER 1999: 114-130 - 1998
- [c6]Daniel L. Moody:
Metrics for Evaluating the Quality of Entity Relationship Models. ER 1998: 211-225 - [c5]Daniel L. Moody, Graeme G. Shanks, Peta Darke:
Improving the Quality of Entity Relationship Models - Experience in Research and Practice. ER 1998: 255-276 - 1997
- [c4]Daniel L. Moody:
A Multi-Level Architecture for Representing Enterprise Data Models. ER 1997: 184-197 - 1996
- [c3]Daniel L. Moody:
Graphical Entity Relationship Models: Towards a More User Understandable Representation of Data. ER 1996: 227-244 - 1995
- [c2]Daniel L. Moody:
The Seven Habits of Highly Effective Data Modelers (and Object Modelers). OOER 1995: 436-437 - 1994
- [c1]Daniel L. Moody, Graeme G. Shanks:
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models. ER 1994: 94-111
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-19 00:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
