Introduction
Whereas the System Use-Case Model shows the behavioral context for the system, during this activity you
create a logical model of the system in its environment in a Context Diagram:
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The interfaces to be realized by the system (in terms of the operations the systems provides, and the
associated protocols supported, the state variables and stores that the system realizes, and
attributes characterized as Technical Performance Measures).
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The I/O entities that flow between the system and its actors.
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The interfaces required by the system (to be realized by the actors which interact with the system) for
correct performance. Often, if the actor represents an existing system with which the system must communicate,
these required interfaces simply reflect constraints imposed by that other system.
A context diagram shows the top-level collaboration between the system and its actors. It is the structural analog to
the Use-Case Model for the system.
I/O entities (represented for modeling as "I/O" stereotyped classes with attributes but no operations) describe things
that flow into or out of the system, and can, in the general system case, include data, mass, energy, or physical
parts. I/O entities are associated (during modeling) with actor-system pairs, indicating that these particular I/O
entities flow between actor and system. They can optionally be shown on the diagrams, associated with the actor, and
the direction of flow is indicated by a stereotype "send"or "receive" on the association, indicating the direction
relative to the actor.
A System Operation is a service that can be requested from an object to effect behavior. An operation specifies the
name, type, parameters, and constraints for invoking an associated behavior. The Operations are grouped around
interfaces along the main responsibilities of the (sub)system under consideration. A system operation invocation
represents a finer grained interaction with the system than a use-case instance, and a use-case instance is a
composition of operation invocations and responses.
State variables and stores are attributes defined on the interfaces realized by the system. These are abstract and
require that the system maintain information corresponding to the type and multiplicity of the attribute and permit
storage, retrieval and modification of that information. There is no implication that there an attribute in the system
directly corresponds to the attribute defined at the interface. The difference between state variables and stores is
not intrinsic, it just reflects the way the attributes are used to control the operation of the system's (abstract)
state machine. A "state" persists over a period of time, unlike an event (such as the arrival of a signal) that occurs
at a point in time. The state machines mentioned here are finite state machines, and the delineation of "state" is
usually decided by relatively few variables; for example, the current state could be specified by the value of a single
attribute of an enumeration type. The reaction of the system however, to an event, might depend not only on the nature
of the event (and the information it carries, for example, in the operation parameters), and the current state, but
also on the value of (perhaps many) other attributes.
A Technical Performance Measure (TPM) is a key technical attribute selected from the Supplementary Specifications or
Use-Case Model as a critical indicator of system effectiveness, that, if not achieved, puts the system development at
risk of overrunning cost, schedule or performance constraints. The emerging values of such attributes are tracked over
the project lifetime. For example, it might be important that the delivered weight of a system be kept below a certain
limit, and the achievement of this target needs to be tracked as design and construction proceeds. The weight of the
system as delivered is obviously an attribute (which can be sensed in various ways) of an instance of the system, and
is not necessarily the same as the target weight during development (for a system to be launched into orbit you would
probably like it to be less). A UML tagged value can be used to annotate a TPM attribute to indicate the performance
target, for example:
"TPM" weight {maximum_weight = 1000kg}
Technical Performance Measures can also apply to other non-structural characteristics such as operation response time.
Tagged values can be applied to system operations, or the system itself, to record these.
Create Initial Context Diagram
The following steps show evolving levels of detail of the system in context. The example illustrated is that of a
security system, protecting property from unauthorized intrusion, which, in addition to sounding an alarm, has the
ability to report breaches to some kind of response service.
As you evolve and add more detail to the Use-Case Model (discovering the actors; or if Business Modeling has been
performed, and actors and perhaps operations already identified, elaborating their interaction), you can create the
initial collaboration and illustrate this with a Context Diagram. The Context Diagram can be created as shown,
initially with the system interfaces abstracted away. The system is depicted as a top-level subsystem (stereotyped
"system"), which eventually realizes several interfaces. Actors and their associations are also shown, again, with no
detail initially.
Refine Associations and Interfaces
Next, you refine the associations between actors and system, and the system interface. You can start to reason about
the system operations and the system attributes as they emerge from other activities around defining the actors and
detailing use cases. Note that now the system appears to the actors, by showing the interface. The realization of this
can be shown if you wish (highlighted by the dashed circle in the diagram), but can be omitted without much loss of
information.
At this stage, only tentatively identify the I/O entities, based on domain knowledge and any work done previously in
realizing use cases at the enterprise level. Note that it is not required that the I/O entities be shown on the
diagram, but this can be helpful in reasoning about actor-system interactions.
Thus, you can start to characterize the connection(s) between actor and system (for example, record the protocol
required) and record the entities that flow between them.
Detail System Operations and other Characteristics
In this step, you start to construct use-case scenarios (instances of use cases) from which you can describe system
operations. The scenarios can be illustrated by interaction or activity diagrams. Each black-box step in a use case
represents a finer-grained interaction with the system and maps to an operation invocation (but not necessarily a
unique operation; other black-box steps might use the same operation). As well as defining the system operations in the
Context Diagram, the use cases are also annotated, for traceability, to the operations invoked. The operations also
inherit any performance requirements or other non-functional requirements that have been allocated to the black-box
steps. As you examine each black-box step performed in the scenario, you discover the use of names that might suggest
state variables and stores that the system must maintain to execute the use-case scenario. You can also refine the I/O
entities that are required and associate these with operation invocations to form the signals sent between actor and
system.
This analysis might also identify interfaces required by the system, that is, interfaces that must be supported by the
actors (to process messages from the system).
This top-level collaboration, captured in the Context Diagram, allows the interfaces, connections, what flows into and
out of the system, and associated performance characteristics, to be rigorously specified, enabling system development
to proceed somewhat independently from other elements in the system's context.
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