Skip to main content


Capturing and analyzing the requirements makes it easier to translate into a PageSeeder model.

The most useful requirements to capture for PageSeeder modeling are

  • Semantic data model (such as an entity relationship ER model)
  • System requirements
  • Use cases

Entity-relationship model

The first step is to building a semantic data model by identifying

  • Entities
  • Attributes
  • Relationships

Identifying semantics and relationship will help translating the model into a PageSeeder solution.

Entities and attributes

An entity is generally expressed as a noun


  • Identify primary keys
  • Are there any public keys?
  • Cardinality – How many possible instances?


  • Mutability – Can they change?
  • Volatility – How frequently are they changed / created?
  • Data types of value (integer, string, boolean, date)
  • Range of possible values (1-100, enumerated lists, etc.)


Relationship between entities.

A relationship generally expressed as verb.

Note if relationship is:

  • Hierarchical
  • Bidirectional


  • 0..1, 1..1, 1..N, N..M


System requirements

System requirements will inform design decisions

They should include:

  • Business case
  • Usability
  • Reliability
  • Performance
  • Security
  • Supportability
  • Documentation & help system
  • Training
  • Future developments

Use cases

Use cases are useful to identify actors and how they interact with PageSeeder

Use cases should include:

  • A title or goal
  • Actors
  • Scope
  • Success / failure scenarios
  • Related information


See common approaches to PageSeeder modeling.

Created on , last edited on