Synthesizing, correcting and improving code, using model checking-based genetic programming

Gal Katz; Doron Peled

doi:10.1007/s10009-016-0418-1

Synthesizing, correcting and improving code, using model checking-based genetic programming

Gal Katz, Doron Peled

Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

Abstract

We show here how the use of genetic programming in combination of model checking provides a powerful way to synthesize programs. Whereas classical algorithmic synthesis provides alarming high complexity and undecidability results, the genetic approach provides a surprisingly successful heuristics. We describe several versions of a method for synthesizing sequential and concurrent systems. We show several examples where we used our approach to synthesize, improve and correct code.

Original language	English
Pages (from-to)	449-464
Number of pages	16
Journal	International Journal on Software Tools for Technology Transfer
Volume	19
Issue number	4
DOIs	https://doi.org/10.1007/s10009-016-0418-1
State	Published - 1 Aug 2017

Keywords

Genetic programming
Model checking
Synthesis

All Science Journal Classification (ASJC) codes

Software
Information Systems

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10.1007/s10009-016-0418-1

Cite this

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title = "Synthesizing, correcting and improving code, using model checking-based genetic programming",

abstract = "We show here how the use of genetic programming in combination of model checking provides a powerful way to synthesize programs. Whereas classical algorithmic synthesis provides alarming high complexity and undecidability results, the genetic approach provides a surprisingly successful heuristics. We describe several versions of a method for synthesizing sequential and concurrent systems. We show several examples where we used our approach to synthesize, improve and correct code.",

keywords = "Genetic programming, Model checking, Synthesis",

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AB - We show here how the use of genetic programming in combination of model checking provides a powerful way to synthesize programs. Whereas classical algorithmic synthesis provides alarming high complexity and undecidability results, the genetic approach provides a surprisingly successful heuristics. We describe several versions of a method for synthesizing sequential and concurrent systems. We show several examples where we used our approach to synthesize, improve and correct code.

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KW - Model checking

KW - Synthesis

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JO - International Journal on Software Tools for Technology Transfer

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Synthesizing, correcting and improving code, using model checking-based genetic programming

Abstract

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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