Distinguishing between learning, growth and evolution

N. Phillips, S. Black
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引用次数: 3

Abstract

Systems are not expected to stay the same over many versions; if there were no change at all there would be no improvement or continued satisfaction with a system. Lehman's laws of software evolution look at how a system changes over time. The current set of laws is now accepted as fundamental to the teaching and understanding of software engineering. This paper describes the terms "learning", "growth" and "evolution" from a biological perspective with a view to using and applying these ideas to an initial framework for the categorisation of software. The purpose is to classify software systems and thus understand more about their behaviour and characteristics.
区分学习、成长和进化
系统不希望在多个版本中保持相同;如果根本没有变化,就不会有改进或对系统的持续满意。雷曼软件进化定律关注的是系统如何随时间变化。当前的一组定律现在被认为是软件工程教学和理解的基础。本文从生物学的角度描述了术语“学习”、“成长”和“进化”,并将这些概念应用到软件分类的初始框架中。目的是对软件系统进行分类,从而更多地了解它们的行为和特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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