"... In PAGE 2: ... 3 An XML Schema for SLSs As XML Schemas tend to be very verbose, a graphical notation is used to represent the structure, types, elements and content models of documents. Table1 illustrates all graphics used to model the SLS XML Schema. 1An SLA may include multiple SLSs, however, an SLS is usually re- lated to a service class usage.... ..."

"... In PAGE 2: ... These frameworks, languages and tools provide solutions for individual characteristics and requirements of VR interfaces such as the behavioral aspects, interaction aspects or a particular issue within these domains. Table3 provides a summary of the previous work addressing behavioral and interaction characteristics of VR interfaces. Once the designer figures out how to conceptualize the interface and how to decompose the overall design task into smaller components such as behaviors, interactions, communications, graphics, etc.... ..."

"... In PAGE 3: ... We construct a set of considerations and a process that allow us to construct an argument that the model has been validated. The elements of the validation framework are shown in Table1 . The result of the validation process is a set of resources that one may draw upon to counteract objections to the notion that the model is valid and produces valid results.... ..."

"... In PAGE 24: ...5 Actual Prediction LCL UCL Figure 5: Actual vs. Estimated Defects/KLOC 7 MODEL COMPARISON In Table7 , we provide an overview of how the three parametric models in this study utilized each step in the parametric modeling process. This comprehensive guide summarizes the information presented in Sections 4 ... ..."

"... In PAGE 5: ... For data- intensive Web applications, the Data viewpoint modeling is the cornerstone for all the other viewpoints. In consequence, our starting point is an Information Structure model of the application, which is represented in our proposal by a UML class diagram marked with the stereotypes defined in Table1 .TheIn- formation Structure model is then refined to represent how information is dis- tributed in lessmuchNodesgreatermuch, with attribute Location specifying their location.... In PAGE 5: ...TheIn- formation Structure model is then refined to represent how information is dis- tributed in lessmuchNodesgreatermuch, with attribute Location specifying their location. As shown in Table1 , external data sources will be referenced in the Information Structure model as lessmuchExternalInformationUnitgreatermuch UML classes, related to lessmuchInformationUnitgreatermuch UML classes by means of lessmuchExternalRelationshipgreatermuch associations. Please notice that the fact that stereotypes of UML 2.... ..."

"... In PAGE 24: ... We use the terms not in their absolu te sense but in their relative relationship. Table1 presents a scheme for planning a series of simulations, where three separate scenarios of exogenous ... In PAGE 25: ...Table1... ..."

"... In PAGE 9: ... By restricting the feature space from which the predictive attributes are selected to collaborative features (attributes derived only from the Order table), content features (attributes derived from the Order, Book, and Occurrence tables) and demographic features (attributes derived from the Order and Customer tables) we also built models that emulate collaborative filtering, demographic filtering, content-based approaches. The performances of different recommendation approaches under this PRM-based recommendation framework (PRMR) are presented in Table2 in comparison with the performance of a standard collaborative filtering algorithm based on customer neighborhood formation (Breese et al. 1998).... In PAGE 10: ... Book Store dataset: Recommendation performance measures (K=10) of a standard collaborative filtering algorithm and the different models of a unified relational-learning- based recommendation framework (PRMR) that emulate various typical recommendation approaches (boldfaced measures were not significantly different from the largest measure at the 5% significance level). We observe in Table2 that the content-based and demographic filtering approaches had similar performances, the performance measures of the collaborative filtering approach almost doubled those of the content-based and demographic filtering approaches, and that the hybrid approach delivered the best performance with significant improvement compared to the collaborative filtering approach. All PRM-based models under different approaches outperformed the standard neighborhood-based collaborative filtering algorithm, which demonstrates the value of additional recommendation-relevant relational features constructed by the PRM-based recommendation framework that are not included in typical recommendation algorithms.... ..."

"... In PAGE 8: ... This challenges traditional practices with regards to both the architectural model according to which unified artefacts become embedded into user interface implementations, and the mechanisms offered for context-sensitive processing of alternatives towards the selection of a maximally preferred option. In Table2 , we contrast traditional and Unified User Interface development. Table 2: Contrasting traditional and Unified User Interface development ... ..."

"... In PAGE 17: ... This challen ges traditional practices with regards to both the architectural model according to which unified artefacts become embedded into user interface implementations, and the mechanisms offered for context - sensitive processing of alternatives towards the selecti on of a maximally preferred option. In Table2 , we contrast traditional and Unified User Interface development. Table 2: Contrasting traditional and Unified User Interface development ... ..."