Splits a bounded context by grouping those aggregates together into one bounded context which are used by the same feature: use case(s) and/or user stories.
Hint: An aggregate in CML can belong to multiple use cases and/or user stories (therefore the plural Features in the AR name).
By decomposing a system into multiple bounded contexts we aim for loose coupling between the bounded context and a high cohesion within them. One approach to achieve this and to decompose a system into components or (micro-) services is to split by use cases and/or user stories.
See also:
- Coupling criterion Semantic Proximity of ServiceCutter
- How to decompose the application into services? by Chris Richardson
- Single responsibility principle
In Context Mapper you can assign multiple use cases and/or user stories to an aggregate, which allows you to model by which features an aggregate is used. Consult our aggregate documentation page to see how this can be modeled in CML. The user requirements page documents how you specify your user stories and/or use cases.
This Architectural Refactoring (AR) splits a bounded context by use cases and/or user stories. This means, it creates bounded contexts containing aggregates which are used by the same cases/stories. It can be applied if your model exhibits a bounded contexts with aggregates which are used by different features.
Inverse AR's:
- The bounded context must contain at least two aggregates.
- The aggregates must be assigned to different use cases and/or user stories.
- One bounded context.
- The AR creates multiple bounded contexts. Each bounded context contains one or more aggregates which are used by the same use cases and/or user stories.
The following two CML snippets show an example input and output illustrating how this AR works.
The following bounded context three aggregates which are used by two different use cases:
/* With a right-click on the 'PolicyManagementContext' bounded context you can execute the 'Split Bounded Context by Features' refactoring.
* It will split the existing bounded context and group the two aggregates of the 'CreateOffer4Customer' use case together. The 'Contract'
* aggregate used by the 'UpdateContract' use case will be separated.
*/
BoundedContext PolicyManagementContext implements PolicyManagementDomain {
type = FEATURE
domainVisionStatement = "This bounded context manages the contracts and policies of the customers."
responsibilities = "Offers, Contracts, Policies"
implementationTechnology = "Java, Spring App"
Aggregate Offers {
useCases = CreateOffer4Customer
Entity Offer {
aggregateRoot
int offerId
- Customer client
- List<Product> products
BigDecimal price
}
}
Aggregate Products {
useCases = CreateOffer4Customer
Entity Product {
aggregateRoot
- ProductId identifier
String productName
}
ValueObject ProductId {
int productId key
}
}
Aggregate Contract {
useCases = UpdateContract
Entity Contract {
aggregateRoot
- ContractId identifier
- Customer client
- List<Product> products
}
ValueObject ContractId {
int contractId key
}
Entity Policy {
int policyNr
- Contract contract
BigDecimal price
}
}
}
Applying the AR Split Bounded Context by Features produces two bounded context, one for each use case:
BoundedContext PolicyManagementContext implements PolicyManagementDomain {
domainVisionStatement = "This bounded context manages the contracts and policies of the customers."
responsibilities = "Offers, Contracts, Policies"
implementationTechnology = "Java, Spring App"
Aggregate Contract {
useCases = UpdateContract
Entity Contract {
aggregateRoot
- ContractId identifier
- Customer client
- List<Product> products
}
ValueObject ContractId {
int contractId key
}
Entity Policy {
int policyNr
- Contract contract
BigDecimal price
}
}
}
/**
* A new bounded context created by the 'Split Bounded Context by Features' refactoring applied to 'example-input.cml'.
*
* Note that the refactoring does not produce meaningful bounded context names. You can use the 'Rename Element' refactoring (SHIFT-ALT-R)
* to rename the new aggregate.
*/
BoundedContext NewBoundedContext1 {
Aggregate Offers {
useCases = CreateOffer4Customer
Entity Offer {
aggregateRoot
int offerId
- Customer client
- List<Product> products
BigDecimal price
}
}
Aggregate Products {
useCases = CreateOffer4Customer
Entity Product {
aggregateRoot
- ProductId identifier
String productName
}
ValueObject ProductId {
int productId key
}
}
}
- Example input source: example-input.cml
- Example output source: example-output.cml