用于质量预测的逆向工程组件模型

Steffen Becker, Michael Hauck, M. Trifu, K. Krogmann, J. Kofroň
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引用次数: 41

摘要

遗留应用程序仍然广泛传播。如果需要更改部署或更新其功能,则由于缺乏相应的模型,很难估计此类修改对性能的影响。在本文中,我们提出了一个基于Eclipse的可扩展集成环境,该环境是在Q-Impress项目的范围内开发的,用于遗留应用程序的逆向工程(C/ c++ /Java)。Q-Impress项目的目标是在体系结构级别上对质量属性(性能、可靠性、可维护性)进行建模,并允许为实现期望的修改选择最合适的变体。该项目的主要贡献包括:i)将整个过程的所有步骤高度集成到一个工具中,该工具的测试版已经成功地在一个案例研究中进行了测试;ii)将多种研究方法集成到性能建模中;iii)为不同的质量维度提供了一个可扩展的底层元模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reverse Engineering Component Models for Quality Predictions
Legacy applications are still widely spread. If a need to change deployment or update its functionality arises, it becomes difficult to estimate the performance impact of such modifications due to absence of corresponding models. In this paper, we present an extendable integrated environment based on Eclipse developed in the scope of the Q-Impress project for reverse engineering of legacy applications (in C/C++/Java). The Q-Impress project aims at modeling quality attributes (performance, reliability, maintainability) at an architectural level and allows for choosing the most suitable variant for implementation of a desired modification. The main contributions of the project include i) a high integration of all steps of the entire process into a single tool, a beta version of which has been already successfully tested on a case study, ii) integration of multiple research approaches to performance modeling, and iii) an extendable underlying meta-model for different quality dimensions.
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