Results - Diagrams
01 Jun 1996 updated
See also Diagrams
section of the meeting presentation
- Perform diagram auto layout with user preferences for style
and weighting of the algorithm's factors. See, for example, Tom
Sawyer Software.
- Add a feature to select an entity's neighbors to n degree
of relationship.
- Offer every meta object as a graphic object (e.g., manipulate
attributes directly for edit and move). Thus attributes would be graphic
objects able to be moved, copied, deleted, edited, etc. directly on the
diagram.
- Show referential integrity options on the CDM logical
level. See also Results - Model
Transformation
- Provide icons to view and manipulate referential integrity options
graphically.
- Provide graphic symbols for entity classification (over new
meta properties) to allow users to classify entities with more differentiation
than color, line style, and shadow.
- Add meta data structures to enable user association of logical properties
to graphic properties. For example, associate red line color with dependent
relationships; associate a shadow with entites which will not generate
into the physical model. See also Results
- Meta-Data.
- Provide object snap to user determined grid or size (i.e., "Normal")
- Add a wizard to assist placement of relationship ends at intelligent
points around the perimiter of an entity.
- Select relationship representation from a list of standard methodologies
(e.g.; IE, OMT, IDEF, ...) - do not offer user customizable cardinality
symbols.
- Automatically draw visual clues to relationship stacking and
other obscured model content.
- Decouple the symbols for dependent relationships and cardinality
(see Results - Model Content).
- Generate process oriented data model diagrams where the entity
content is auto-selected based on a process selected in Process Analyst
and entities involved in that process.
- Submodels versus subject areas is a deep and important area.
We did not have time to explore these issues adequately so we agreed to
table them marked "to be explored".
Where to go from here:
© © 1996
Applied Information Science International