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Titlebook: Current Trends in Web Engineering; ICWE 2018 Internatio Cesare Pautasso,Fernando Sánchez-Figueroa,Juan Man Conference proceedings 2018 Spri

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樓主: CURD
11#
發(fā)表于 2025-3-23 10:23:18 | 只看該作者
12#
發(fā)表于 2025-3-23 16:29:09 | 只看該作者
Intelligent Code Generation for Model Driven Web Developmenttion rules and the code architecture in a way that preserves the parts of the code that are defined outside the model-and-generate cycle, such as the code defining the look and feel of the user interface and the connection to the required service endpoints.
13#
發(fā)表于 2025-3-23 20:24:31 | 只看該作者
Architecting Self-adaptive Software Systemsrol-based, learning-based and awareness-based approaches. Our aim is to clarify whether a unified, general approach to computational self-adaptivity is possible and what it could look like. We conclude that a general solution should combine aspects of all of the studied approaches.
14#
發(fā)表于 2025-3-23 22:21:55 | 只看該作者
Using , Diagrams on Web Datat and implementation of Web systems and services. In particular, . diagrams permit to visualize (i) classifier performance, in terms of accuracy and bias, and (ii) variable importance, useful to define feature ranking, selection or reduction algorithms. The proposed use cases emphasize the usefulness of the tool when dealing with Web data.
15#
發(fā)表于 2025-3-24 03:33:13 | 只看該作者
Conference proceedings 2018, held in Cáceres, Spain, in June 2018. The 18 revised full papers were selected from 40 submissions. The workshops complement the main conference and explore new trends on core topics of Web engineering and provide an open discussion space combining solid theory work with practical on-the-field exp
16#
發(fā)表于 2025-3-24 07:49:39 | 只看該作者
17#
發(fā)表于 2025-3-24 13:49:30 | 只看該作者
18#
發(fā)表于 2025-3-24 16:33:49 | 只看該作者
19#
發(fā)表于 2025-3-24 19:34:16 | 只看該作者
Bernhard Felderer,Stefan Homburgt and implementation of Web systems and services. In particular, . diagrams permit to visualize (i) classifier performance, in terms of accuracy and bias, and (ii) variable importance, useful to define feature ranking, selection or reduction algorithms. The proposed use cases emphasize the usefulness of the tool when dealing with Web data.
20#
發(fā)表于 2025-3-24 23:11:39 | 只看該作者
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