一句话：提出模型驱动的仿真评估技术 eQual，通过优化算法探索海量架构设计备选，提升早期设计决策质量。
软件架构设计中的早期决策会直接影响系统质量，但设计备选随系统规模迅速增长，形成庞大且相互交织的设计空间，使人工探索不切实际。eQual 是一种模型驱动的架构设计仿真评估技术：它限制架构师需提供的信息量，并适配优化算法以有效探索海量设计备选。作者通过实验表明，eQual 生成的设计质量可与一组系统的已知最优设计相比；用户研究进一步显示，相比现有技术，使用 eQual 的工程师能产出统计显著更高质量的设计（效应量大），对设计更有信心，并认为 eQual 更易用。
When designing a software system, architects make a series of design decisions that directly impact the system's quality. The number of available design alternatives grows rapidly with system size, creating an enormous space of intertwined design concerns that renders manual exploration impractical. We present eQual, a model-driven technique for simulation-based assessment of architectural designs. While it is not possible to guarantee optimal decisions so early in the design process, eQual improves decision quality. eQual is effective in practice because it (1) limits the amount of information the architects have to provide and (2) adapts optimization algorithms to effectively explore massive spaces of design alternatives. We empirically demonstrate that eQual yields designs whose quality is comparable to a set of systems' known optimal designs. A user study shows that, compared to the state-of-the-art, engineers using eQual produce statistically significantly higher-quality designs with a large effect size, are statistically significantly more confident in their designs, and find eQual easier to use.
DOI 原文 ·
@inproceedings{paperbot5761,
title = {eQual: informing early design decisions},
author = {Arman Shahbazian and Suhrid Karthik and Yuriy Brun and Nenad Medvidovic},
booktitle = {FSE},
year = {2020},
doi = {10.1145/3368089.3409749}
}