kezuloo.blogg.se - Otomata for web

Otomata for web software#
Otomata for web code#
Otomata for web Pc#

That is, the state of the whole program, taken at any two moments of entering an automaton step, can only differ in the values of the variables being considered as the automaton state. Between any two steps, the program cannot have implicit components of its state, such as local variables' values, return addresses, the current instruction pointer, etc.

Any communication between the automaton steps is only possible via the explicitly noted set of variables named the automaton state.

That section might be divided down to subsections to be executed depending on different states, although this is not necessary.

Otomata for web code#

Each step is effectively an execution of a code section (same for all the steps) which has a single entry point. The time period of the program's execution is clearly separated down to the automaton steps.The following properties are key indicators for automata-based programming: Sometimes a potentially infinite set of possible states is introduced, and such a set can have a complicated structure, not just an enumeration.įinite-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. Programming paradigmsĪutomata-based programming is a programming paradigm in which the program or part of it is thought of as a model of a finite-state machine (FSM) or any other (often more complicated) formal automaton (see automata theory). 10th International Conference on Machine Learning and Applications, Honolulu, USA.For other uses, see Automata-based programming (Shalyto's approach).

Extended Finite-State Machine Induction using SAT-Solver. Proceedings of 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Application (IEEE CIMSA- 2006), Spain. Modeling Technology for One Class of MultiAgent Systems with Automata Based Programming. Paraschenko, D., Tsarev, F., and Shalyto, A.Proceeding of the 1995 International Symposium on Intelligent Control (ISIC). Cognitive Properties of Hierarchical Representations of Complex Logical Structures.

Otomata for web software#

The Working IEEE/IFIP Conference on Software Architecture, Montreal, August 25-31. Using Architectural Style as a Basis for Selfrepair.

Cheng, S., Garlan, D., Schmerl, B., Sousa, J., Spitznagel, B., and Steenkiste, P.

Software Engineering Institute, November 1990. 9th International Conference on Model-Driven Engineering, Languages and Systems, Genova, Italy. A Software Modeling Odyssey: Designing Evolutionary Architecture-centric Real-Time Systems an d Product Lines. Problems with using components in educational software. ACM/IEEE ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, Minneapolis. Model-Based Software Design and Adaptation. Introduction to Discrete Event Systems, Springer.

Otomata for web Pc#

State-based programming", PC World., vol. Programmatic implementation of control automata, Marine industry: " Automation and remote control", issue 13, pp. Using Models in Real-time Software Design, IEEE Control Systems Magazine, 23(3):31-42.

International Conference on Control and Automation (ICCA '05), June 26-29, Budap est, Hungary. An adaptive optimal controller for non-intrusive performance differentiation in computing services. Feedback Performance Control in Software Services. Abdelzaher, T.F., Stankovic, J.A., Lu, C., Zhang, R.