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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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41#
發(fā)表于 2025-3-28 14:49:16 | 只看該作者
42#
發(fā)表于 2025-3-28 21:33:40 | 只看該作者
Architecting Self-adaptive Software Systemsithout suffering from a lowered quality of service. Several different architectural approaches to self-adaptive software exist with their sources of inspiration varying from psychology to mathematics. In this literature survey, we study and evaluate four types of approaches: architecture-based, cont
43#
發(fā)表于 2025-3-29 01:11:19 | 只看該作者
44#
發(fā)表于 2025-3-29 06:12:25 | 只看該作者
45#
發(fā)表于 2025-3-29 10:32:31 | 只看該作者
46#
發(fā)表于 2025-3-29 11:49:21 | 只看該作者
Making Sentiment Analysis Algorithms Scalable compared in cross-validation with other known techniques and then compared directly to the gold standard, a sample of human subjects asked to deliver the same class of judgments computed by the method. We prove that the method is similar in accuracy and precision with the other methods. We finally
47#
發(fā)表于 2025-3-29 17:10:55 | 只看該作者
Using , Diagrams on Web Data. In this scenario, the main strategies for producing accurate predictive models are mostly focused on the assessment of classifiers performances and features. In this work, a graphical tool, called . diagrams, is applied to some use cases aimed at highlighting its potential in supporting developmen
48#
發(fā)表于 2025-3-29 20:33:37 | 只看該作者
49#
發(fā)表于 2025-3-30 02:20:52 | 只看該作者
Model-Driven Analytics for Open Data APIs different end-point services that can be queried following the standards of the technology used to create the service. Despite the great potential of open data, and the valuable information that its usage can report to improve the data itself, currently most of the data providers are unaware of how
50#
發(fā)表于 2025-3-30 05:59:35 | 只看該作者
Towards Distribution Options in the End-User Development of Multi-device Mashupsith respect to available devices, their capabilities and resources to ease the user-driven mashup development. Furthermore, we investigate the use of aggregation rules and composition ranking rules to rate distribution options regarding their quality properties and their context fitness, e.g., when
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