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Titlebook: Automatic Re-engineering of Software Using Genetic Programming; Conor Ryan Book 2000 Springer Science+Business Media New York 2000 Natural

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發(fā)表于 2025-3-21 18:35:39 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Automatic Re-engineering of Software Using Genetic Programming
影響因子2023Conor Ryan
視頻videohttp://file.papertrans.cn/167/166444/166444.mp4
學(xué)科分類Genetic Programming
圖書封面Titlebook: Automatic Re-engineering of Software Using Genetic Programming;  Conor Ryan Book 2000 Springer Science+Business Media New York 2000 Natural
影響因子.Automatic Re-engineering of Software Using GeneticProgramming. describes the application of Genetic Programming to areal world application area - software re-engineering ingeneral and automatic parallelization specifically. Unlike most usesof Genetic Programming, this book evolves sequences of provabletransformations rather than actual programs. It demonstrates that thebenefits of this approach are twofold: first, the time required forevaluating a population is drastically reduced, and second, thetransformations can subsequently be used to prove that the new programis functionally equivalent to the original. ..Automatic Re-engineering of Software Using Genetic Programming.shows that there are applications where it is more practical to use GPto assist with software engineering rather than to entirely replaceit. It also demonstrates how the author isolated aspects of a problemthat were particularly suited to GP, and used traditional softwareengineering techniques in those areas for which they were adequate...Automatic Re-engineering of Software Using Genetic Programming.is an excellent resource for researchers in this exciting new field.
Pindex Book 2000
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Multi-Objective Problems,s imperfect information about a system, it is difficult to define the fitness function. For example, although we are interested in evolving individuals who are both parallel and correct, it isn’t clear how to balance these two issues during evolution.
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1566-7863 area - software re-engineering ingeneral and automatic parallelization specifically. Unlike most usesof Genetic Programming, this book evolves sequences of provabletransformations rather than actual programs. It demonstrates that thebenefits of this approach are twofold: first, the time required for
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Software Re-Engineering,rious contributors to the current demand for programmers. Few systems remain static after delivery, as most are often subject to numerous calls for change, for everything from changing customer needs to porting the system to different operating systems or even different versions of the same operating system.
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