conceptual-modeling

What problem does it solve?

Conceptual modeling translates messy business requirements and stakeholder language into an implementation-neutral domain model that people can validate before design decisions lock in.

Core Features & Use Cases

• Entity discovery & identity criteria: define distinguishable domain concepts and how to decide when two instances are the same.
• Attribute placement & reification: decide what belongs on which entity, identify derived values, and promote relationship data into explicit entities when needed.
• Named relationships with cardinality/optionality: model associations, aggregation/composition, and generalization/specialization with stakeholder-readable meaning.
• Abstraction-level control & anti-pattern detection: prevent implementation leakage (tables/columns/UUIDs/DDL/OWL/DDD tactics) and catch common modeling failures (missing entities, god entities, phantom/unnamed relationships, over-formalization).
• Stakeholder validation & scenario testing: verify the model with walkthroughs, negative tests, and conflict interviews.

Quick Start

Use conceptual-modeling when you need to produce a stakeholder-readable entity/relationship model for a new or changing domain while keeping it above logical/physical database, API, ontology, and DDD tactical design.