… model-driven approaches and data-driven approaches (Xu et al., 2020; Xiong et al., 2022).
Modeldriven methods … the running of the proposed model-driven algorithms can be finished …

… Yet, “model-driven” data mining and knowledge discovery depend entirely on existing
models. In other words, transformation is complementary and relies more on models and data. A “…

… is key, and MBT as well as model-driven traceability are potential bootstrapping steps in that
translation. The point is to be able to better analyze requirements and user needs for testing …

… An integrated model-driven and data-driven method for on-line prediction of transient stability
of power system with wind power generation[J].IEEE Access,2020,8:83472-83482. [26] 尚…

… , aspect-oriented methods, model-driven methods, and service-oriented … 驱动架构(model-driven
architecture,简称MDA),从 模型驱动架构到模型驱动工程(model-driven engineering,简称…

… study aims to reveal the application status of DDDP, including which DDDP is applied to
software development, the benefits, challenges, and mitigation methods … (model driven design)建…

… for guiding design of IoT application systems with different scales and requirements. We
also analyze ways to establish formal models and model check of IoT application systems …

… paper, possible methods of this integration are systematically introduced, and all of these
methods are classified into a framework level and an algorithm level. Specifically, the methods …

… Cloud computing can support IoT applications with a minimized lack of mobility, resource
utilization, and greater flexibility. The instances of such applications involve, but are not …

… and applications of digital twin and then summarizes the research and application progress
of … 表8 模型驱动与数据驱动对比[13] Table 8 Comparison of model driven and data driven …