modeling - Concepts

Explore concepts tagged with "modeling"

Total concepts: 17

Concepts

Ubiquitous Language - A shared, rigorous vocabulary between developers and domain experts used consistently throughout code, documentation, and conversation in Domain-Driven Design.
Value Object - An immutable domain object defined entirely by its attributes rather than by a unique identity, where two instances with the same values are considered equal.
Random Walk - A mathematical model describing a path consisting of successive random steps, used to model stock prices, particle diffusion, and many natural and social phenomena.
Sensitivity Analysis - A technique for determining how changes in input variables affect the output of a model or decision, revealing which assumptions matter most.
Stock and Flow - A systems thinking model where stocks are accumulations of things and flows are the rates at which they increase or decrease, fundamental to understanding how systems change over time.
Context Mapping - A strategic DDD technique for visualizing and managing the relationships and integration patterns between bounded contexts.
Entity-Relationship Model - A data modeling technique that describes entities, their attributes, and the relationships between them using diagrams.
State Machine - A computational model where a system can be in exactly one of a finite number of states at any given time, transitioning between states in response to inputs.
Entity - A domain object defined by its unique identity that persists through time and state changes, rather than being defined by its attributes.
Aggregate - A cluster of domain objects treated as a single unit for data changes, with a root entity that controls all access and enforces invariants.
Stochastic Processes - Mathematical models describing collections of random variables that evolve over time, used to model uncertainty in systems from finance to physics.
Markov Chains - Mathematical systems that model sequences of events where the probability of each event depends only on the state of the previous event, not the full history.
Monte Carlo Methods - Computational algorithms that use repeated random sampling to estimate numerical results, model complex systems, and solve problems that are deterministically intractable.
Domain-Driven Design - An approach to software development that centers the design on the core business domain and its logic.
Event Storming - A collaborative workshop technique for rapidly exploring and modeling complex business domains by discovering domain events on sticky notes.
Bounded Context - A central pattern in Domain-Driven Design that defines explicit boundaries within which a domain model is defined and applicable.
Domain Model - A conceptual representation of the key entities, rules, and relationships within a specific problem domain.

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