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Event-driven programming is the dominant paradigm used in graphical user interfaces applications and network servers. In an event-driven application, there is generally an event loop that listens for events and then triggers a callback function when one of those events is detected.
The event loop almost always operates asynchronously with the message originator. When the event loop forms the central control flow construct of a program, as it often does, it may be termed the main loop or main event loop. This title is appropriate, because such an event loop is at the highest level of control within the program.
DCI can be thought of as an event-driven programming paradigm, where some event (as a human gesture in a model-view-controller (MVC) architecture) triggers a use case. [3] The use case can be short-lived or long-lived. The events are called triggers, and they are handled in the environment in which DCI is embedded. This environment may be the ...
Event-driven architecture (EDA) is a software architecture paradigm concerning the production and detection of events. Event-driven architectures are evolutionary in nature and provide a high degree of fault tolerance, performance, and scalability. However, they are complex and inherently challenging to test. EDAs are good for complex and ...
The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.
The reactor software design pattern is an event handling strategy that can respond to many potential service requests concurrently.The pattern's key component is an event loop, running in a single thread or process, which demultiplexes incoming requests and dispatches them to the correct request handler.
The concept of a FSM is important in event-driven programming because it makes the event handling explicitly dependent on both the event-type and on the state of the system. When used correctly, a state machine can drastically cut down the number of execution paths through the code, simplify the conditions tested at each branching point, and ...
Event propagation models, such as bubbling, capturing, and pub/sub, define how events are distributed and handled within a system. Other key aspects include event loops, event queueing and prioritization, event sourcing, and complex event processing patterns. These mechanisms contribute to the flexibility and scalability of event-driven systems.