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Behavioral Program Synthesis with Genetic Programming

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Genetic programming (GP) is a popular heuristic methodology of program synthesis with origins in evolutionary computation. In this generate-and-test approach, candidate programs are iteratively produced and evaluated. The latter involves running programs on tests, where they exhibit complex behaviors reflected in changes of variables, registers, or memory. That behavior not only ultimately determines program output, but may also reveal its `hidden qualities' and important characteristics of the considered synthesis problem. However, the conventional GP is oblivious to most of that information and usually cares only about the number of tests passed by a program. This `evaluation bottleneck' leaves search algorithm underinformed about the actual and potential qualities of candidate programs

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Detail Information

Series Title

-

Call Number

005.1

Publisher

Cham : ., 2016

Collation

XXI, 172

Language

English

ISBN/ISSN

978-3-319-27565-9

Classification

005.1

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Software Engineering

Specific Detail Info

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Statement of Responsibility

Krzysztof Krawiec

Other Information

Cataloger

ratna

Source

https://link.springer.com/book/10.1007/978-3-319-27565-9

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