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Overview of Software Adaptation Techniques; Guide Adaptation Pattern

机译:软件适应技术概述;指南适应模式

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Computer systems in general, and applications particularly have evolved considerably from 1991 to 2017. Adapting these applications has become a major challenge that needs to be addressed. New approaches and platforms are emerging to facilitate their adaptation and improve their quality. Conventional approaches have limits to adapt easily, especially dynamically. Knowledge of the software adaptation has helped to address software's problems like the transition to the Year 2000. This transition to the year 2000, which has disrupted the computer world with its enormous budget, is an example of a large-scale adaptation project. The companies with knowledge of software adaptation skills have made an easy transition to the year 2000. Others have had to spend a lot of money, and one reason is the lack of knowledge of software adaptation techniques. This article is a survey and analysis study to identify a set of proven software technical adaptations to help companies address the challenges of adaptation. After a presentation of each technique and the evaluation criteria of these techniques, a result of the evaluation is described. Finally, a classification of techniques has been carried out according to technical and functional criteria. The guide pattern to solve problem of choice Software Adaptation Techniques is the main innovation of the article. The study of dynamic adaptation of application mobile in Cloud ubiquitous and android environment will be the future work to explore.
机译:总体而言,从1991年到2017年,计算机系统(尤其是应用程序)已经发生了很大的变化。适应这些应用程序已成为需要解决的主要挑战。正在出现新的方法和平台,以促进其适应和提高其质量。常规方法具有容易适应,特别是动态适应的限制。对软件适应性的了解有助于解决软件问题,例如过渡到2000年。这种过渡到2000年的巨额预算破坏了计算机世界,这是大规模适应项目的一个例子。拥有软件适应技能知识的公司已轻松过渡到2000年。其他公司则不得不花很多钱,原因之一是缺乏软件适应技术的知识。本文是一项调查和分析研究,旨在确定一组经过验证的软件技术改编,以帮助公司应对改编的挑战。在介绍每种技术和这些技术的评估标准之后,描述评估的结果。最后,根据技术和功能标准对技术进行了分类。解决选择软件自适应技术问题的指导模式是本文的主要创新之处。对云无处不在和android环境中的应用程序移动的动态适应的研究将是未来的探索工作。

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