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Structural synthesis of programs : ウィキペディア英語版
Structural synthesis of programs
Structural synthesis of programs (SSP) is a special form of (automatic) program synthesis that is based on propositional calculus. More precisely, it uses intuitionistic logic for describing the structure of a program in such a detail that the program can be automatically composed from pieces like subroutines or even computer commands. It is assumed that these pieces have been implemented correctly, hence no correctness verification of these pieces is needed. SSP is well suited for automatic composition of services〔Maigre, Riina; Küngas, Peep et al. (2009). Dynamic service synthesis on a large service models of a federated governmental information system. International Journal on Advances in Intelligent Systems, 2(1), 181 - 191.〕 for service-oriented architectures and for synthesis of large simulation programs.〔Kotkas, Vahur; Ojamaa, Andres; Grigorenko, Pavel et al. (2011). CoCoViLa as a multifunctional simulation platform. In: SIMUTOOLS 2011 - 4th International ICST Conference on Simulation Tools and Techniques : March 21–25 - Barcelona, Spain: Brussels: ICST, 2011, (- 8 ).〕〔Grosschmidt, Gunnar; Harf, Mait (2009). COCO-SIM - object-oriented multi-pole modelling and simulation environment for fluid power systems. Part 1: Fundamentals. International Journal of Fluid Power, 10(2), 91 - 100.〕
== History ==

Automatic program synthesis began in the artificial intelligence field, with software intended for automatic problem solving. The first program synthesizer was developed by Cordell Green in 1969.〔Green, Cordell (1969) Application of Theorem Proving to Problem Solving. ''Proceedings of the International Joint Conference on Artificial Intelligence.'' Donald E. Walker and Lewis M. Norton, editors, Gordon and Breach Science Publishers, New York, New York, 219–239.〕 At about the same time, mathematicians including R. Constable, Z. Manna, and R. Waldinger explained the possible use of formal logic for automatic program synthesis. Practically applicable program synthesizers appeared considerably later.
The idea of structural synthesis of programs was introduced at a conference on algorithms in modern mathematics and computer science 〔Tyugu, E.H. (1981). The structural synthesis of programs. In: Algorithms in Modern Mathematics and Computer Science : Proceedings, Urgench, Uzbek SSR September 16–22, 1979: Ershov, A.P.; Knuth, D.E. (Eds.) Berlin: Springer, 1981 (Lecture Notes in Computer Science; 122), 290 - 303.〕 organized by Andrey Ershov and Donald Knuth in 1979. The idea originated from G. Pólya’s well-known book on problem solving.〔Pólya, G. (1957) How to solve it. Princeton University Press.〕 The method for devising a plan for solving a problem in SSP was presented as a formal system. The inference rules of the system were restructured and justified in logic by G. Mints and E. Tyugu 〔Mints, G.; Tyugu, E. (1982). Justification of the structural synthesis of programs. Science of Computer Programming, 2(3), 215 - 240.〕 in 1982. A programming tool PRIZ 〔Mints, G.; Tyugu, E. (1988). The programming system PRIZ. Journal of Symbolic Computation, 5(3), 359 - 375.〕 that uses SSP was developed in the 1980s.
A recent Integrated development environment that supports SSP is CoCoViLa 〔http://www.cs.ioc.ee/cocovila〕 — a model-based software development platform for implementing domain specific languages and developing large Java programs.

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