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JFLAP allows one to create and simulate structures, such as programming a finite-state machine, and experiment with proofs, such as converting a nondeterministic finite automaton (NFA) to a deterministic finite automaton (DFA). JFLAP is developed and maintained at Duke University, with support from the National Science Foundation since 1993.
YAKINDU Statechart Tools (YAKINDU SCT) is a tool [1] for the specification and development of reactive, event-driven systems with the help of finite-state machines.It comprises a tool for the graphical editing of statecharts and provides validation, simulation, and source code generators for various target platforms and programming languages.
A finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of computation.It is an abstract machine that can be in exactly one of a finite number of states at any given time.
SCXML stands for State Chart XML: State Machine Notation for Control Abstraction. It is an XML-based markup language that provides a generic state-machine-based execution environment based on Harel statecharts. SCXML is able to describe complex finite-state machines. For example, it is possible to describe notations such as sub-states, parallel ...
Ragel is a finite-state machine compiler and a parser generator. Initially Ragel supported output for C, C++ and Assembly source code, [4] later expanded to support several other languages including Objective-C, D, Go, Ruby, and Java. [5] Additional language support is also in development. [6]
A directed graph. A classic form of state diagram for a finite automaton (FA) is a directed graph with the following elements (Q, Σ, Z, δ, q 0, F): [2] [3]. Vertices Q: a finite set of states, normally represented by circles and labeled with unique designator symbols or words written inside them
An automaton with a finite number of states is called a finite automaton (FA) or finite-state machine (FSM). The figure on the right illustrates a finite-state machine, which is a well-known type of automaton. This automaton consists of states (represented in the figure by circles) and transitions (represented by arrows).
Finite-state machine-based programming is generally the same, but, formally speaking, does not cover all possible variants, as FSM stands for finite-state machine, and automata-based programming does not necessarily employ FSMs in the strict sense. The following properties are key indicators for automata-based programming: