虚拟环境中软件解决方案的实验评估框架

D. Ilin
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引用次数: 2

摘要

目标。开发软件时使用的现成信息技术解决方案根据实验获得的目标具有不同的特征。虽然在实验软件工程中选择合适的技术和软件工具可能很耗时,但通过为研究人员提供特定领域的工具可以降低实验的复杂性。本研究的目的是设计和开发一个特定领域的软件框架,用于虚拟环境中信息技术解决方案特征的实验评估。为了确定软件框架所需的特征,对进行实验研究的软件工具进行了分析,以评估虚拟环境中信息技术解决方案的特征。采用分解、结构设计和软件开发的方法对框架进行了设计和开发。已经开发了一个进行实验研究的软件框架。给出了设计结果、框架的主要特点和功能描述。框架的实现包括用于管理虚拟机的命令和用于搭建的命令。提出了一种利用该框架进行实验研究的技术。所开发的特定于领域的软件框架解决了现有工具的缺点,以便在进行评估信息技术解决方案的实验时减少人工成本。开发的框架和建议的方法允许设置软件实验所需的编程和标记语言的数量从3个减少到1个。
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Framework for experimental evaluation of software solutions in a virtual environment
Objectives. Ready-made information technology solutions used when developing software have various characteristics depending on the objectives to be experimentally obtained. While the selection of appropriate technologies and software tools used in experimental software engineering can be time-consuming, experimental complexity can be reduced by providing the researcher with domain-specific tools. The aim of the study is to design and develop a domain-specific software framework for experimental evaluation of the characteristics of information technology solutions in a virtual environment.Methods. To determine the required characteristics of the software framework, an analysis of software tools for conducting experimental studies to evaluate the characteristics of information technology solutions in a virtual environment was conducted. Methods of decomposition, structural design, and software development were applied to design and develop the framework.Results. A software framework for conducting experimental research has been developed. The design results, key features of the framework and a description of the functionality are presented. The implementation of the framework comprises commands for managing virtual machines and commands for scaffolding. A technique for conducting experimental studies using the framework is proposed.Conclusions. The developed domain-specific software framework addresses shortcomings of existing tools to reduce labor costs when conducting experiments to evaluate information technology solutions. The developed framework and proposed methodology allows the number of programming and markup languages required for setting up a software experiment to be reduced from 3 to 1.
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