Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests

References

  • Anderson J. R., Pirolli P. L. Spread of activation. J. Experiment. Psych.: Learning, Memory, and Cognition (1984) 10:791–798CrossrefGoogle Scholar
  • Ashcraft M. H.Human Memory and Cognition (1989) (Scott, Foresman and Company, Glenview, IL) Google Scholar
  • Batini C., Ceri S., Navathe S. B.Conceptual Database Design: An Entity-Relationship Approach (1992) (Benjamin/Cummings, Redwood City, CA) Google Scholar
  • Batra D., Marakas G. M. Conceptual data modelling in theory and practice. Euro. J. Inform. Systems (1995) 4:185–193CrossrefGoogle Scholar
  • Batra D., Hoffer J. A., Bostrom R. P. Comparing representations with relational and EER models. Commun. ACM (1990) 33:126–139CrossrefGoogle Scholar
  • Boehm B.Software Engineering Economics (1981) (Prentice-Hall, Upper Saddle River, NJ) Google Scholar
  • Bradshaw G. L., Anderson J. R. Elaborative encoding as an explanation of levels of processing. J. Verbal Learning and Verbal Behavior (1982) 21:165–174CrossrefGoogle Scholar
  • Bunge M.Treatise on Basic Philosophy: Volume 3: Ontology I: The Furniture of the World (1977) (Reidel, Boston, MA) CrossrefGoogle Scholar
  • Cattell R. G. G.Object Data Management: Object-Oriented and Extended Relational Database Systems (1994) (Addison-Wesley, Reading, MA) . Rev. editionGoogle Scholar
  • Collins A. M., Quillian M. R. Retrieval times from semantic memory. J. Verbal Learning and Verbal Behaviour (1969) 8:240–247CrossrefGoogle Scholar
  • Ernest C. H. Ability differences and prose learning. Intelligence (1991) 15:455–477CrossrefGoogle Scholar
  • Gemino A.To be or may to be: An empirical comparison of mandatory and optional properties in conceptual modelling (1998) Proc. Ann. Conf. Admin. Sci. Assoc. of Canada(Information Systems Division, Saskatoon, Saskatchewan) 33–44Google Scholar
  • Gemino A.Empirical methods for comparing system analysis modelling techniques (1999) (University of British Columbia, Vancouver, B.C., Canada) . Unpublished PhD thesisGoogle Scholar
  • Gemino A., Wand Y., Siau K. Empirical methods for comparing system analysis methods. Proc. CAiSE '98/IFIP 8.1 Internat. Workshop on Evaluation of Modelling Methods in System Anal. and Design (1998) (Pisa, Italy)1–12Google Scholar
  • Goldstein R. C., Storey V., Lochovsky F. H. Some findings on the intuitiveness of entity-relationship constructs. Entity-Relationship Approach to Database Design (1990) (Elsevier Science Publishers, B. V., North Holland, Amsterdam) 9–23Google Scholar
  • Hirschheim R., Klein H., Lyytinen K.Information Systems Development and Data Modelling: Conceptual Foundations and Philosophical Foundations (1995) (Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • Hitchman S. Practitioner perceptions of the use of some semantic concepts in the entity-relationship model. Euro. J. Inform. Systems (1995) 4:31–40CrossrefGoogle Scholar
  • Kilov H., Ross J.Information Modelling: An Object-Oriented Approach (1994) (Prentice-Hall, Upper Saddle River, NJ) Google Scholar
  • Maier R.Benefits and quality of data modelling-results of an empirical analysis (1996) Proc. Fifteenth Internat. Conf. Entity-Relationship Approach(Cottbus, Germany)245–260CrossrefGoogle Scholar
  • Mayer R. E. Models for understanding. Rev. Ed. Res. (1989) 59:43–64CrossrefGoogle Scholar
  • Mayer R. E., Gallini J. K. When is an illustration worth a thousand words. J. Ed. Psych. (1990) 82:715–726CrossrefGoogle Scholar
  • Moody D. L.Metrics for evaluating the quality of entity relationship models (1998) Proc. Seventeenth Internat. Conf. Conceptual Modelling(Singapore)CrossrefGoogle Scholar
  • Moody D. L., Shanks G. Improving the quality of entity-relationship models: An action research programme. Australian Computer J. (1998) 30:129–138Google Scholar
  • Mylopoulous J. Information modelling in the time of the revolution. Inform. Systems (1998) 23:127–155CrossrefGoogle Scholar
  • Newell A., Simon H. A.Human Problem Solving (1972) (Prentice-Hall, Upper Saddle River, NJ) Google Scholar
  • Owens J., Bower G. H., Black J. B. The ‘soap opera’ effect in story recall. Memory and Cognition (1979) 7:185–191CrossrefGoogle Scholar
  • Prietula M. J., March S. T. Form and substance in physical database design: An empirical study. Inform. Systems Res. (1991) 2:287–314LinkGoogle Scholar
  • Shenk D.Data Smog: Surviving the Information Age (1997) (Little, Brown, New York) Google Scholar
  • Walrad C., Moss E. Measurement: The key to application development quality. IBM Systems J. (1993) 32:445–460CrossrefGoogle Scholar
  • Wand Y., Storey V., Weber R. An ontological analysis of the relationship construct in conceptual modelling. ACM Trans. Database Systems (1999) 24:494–528CrossrefGoogle Scholar
  • Weber R. Are attributes entities? A study of database designers' memory structures. Inform. Systems Res. (1996) 7:137–162LinkGoogle Scholar
  • Weber R., Zhang Y. An analytical evaluation of NIAM's grammar for conceptual schema diagrams. Inform. Systems J. (1996) 6:147–170CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.