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In computer programming, event-driven programming is a programming paradigm in which the flow of the program is determined by external events. UI events from mice , keyboards , touchpads and touchscreens , and external sensor inputs are common cases.
In computing, an event is a detectable occurrence or change in the system's state, such as user input, hardware interrupts, system notifications, or changes in data or conditions, that the system is designed to monitor. Events trigger responses or actions and are fundamental to event-driven systems.
Dynamic testing takes place when the program itself is run. Dynamic testing may begin before the program is 100% complete in order to test particular sections of code and are applied to discrete functions or modules. [23] [24] Typical techniques for these are either using stubs/drivers or execution from a debugger environment. [24]
In the strictest sense, an event loop is one of the methods for implementing inter-process communication. In fact, message processing exists in many systems, including a kernel-level component of the Mach operating system. The event loop is a specific implementation technique of systems that use message passing.
Profiler-driven program analysis on Unix dates back to 1973, [7] when Unix systems included a basic tool, prof, which listed each function and how much of program execution time it used. In 1982 gprof extended the concept to a complete call graph analysis.
The Event Driven Executive (EDX) is a computer operating system originally developed by IBM [1] [2] for the control of research laboratory devices and experiments. It included an application programming language known as EDL and HCF, a Host Communication Facility.
An event bus can be distributed over a set of physical nodes such as standalone computer systems. Typical examples of event buses are found in graphical systems such as X Window System, Microsoft Windows as well as development tools such as SDT. Event collection is the process of collecting event occurrences in a filtered event log for
Dynamic program analysis is the act of analyzing software that involves executing a program – as opposed to static program analysis, which does not execute it. Analysis can focus on different aspects of the software including but not limited to: behavior , test coverage , performance and security .