Titlebook: Studien über mechanische Bobbinet- und Spitzen-Herstellung; Max Kraft Book 1892 Springer-Verlag Berlin Heidelberg 1892 Forschung.Industrie

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书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung影响因子(影响力)




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung影响因子(影响力)学科排名




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung网络公开度




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung网络公开度学科排名




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung被引频次




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung被引频次学科排名




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung年度引用




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung年度引用学科排名




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung读者反馈




书目名称Studien über mechanische Bobbinet- und Spitzen-Herstellung读者反馈学科排名

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Max Krafte practical and accessible. Motivated by these exciting developments, Requirements Engineering (RE) researchers have been experimenting ML/DL based approaches for a range of RE tasks, such as requirements classification, requirements tracing, ambiguity detection, and modelling. . Most of today’s ML/

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ing systems, limited research exists on how user stories are refined into conceptual design. . We study the process of deriving conceptual models from user stories, which is at the basis of information systems development. We focus our attention on the derivation of a holistic view of structural and

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Max Krafting systems, limited research exists on how user stories are refined into conceptual design. . We study the process of deriving conceptual models from user stories, which is at the basis of information systems development. We focus our attention on the derivation of a holistic view of structural and

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en discussed as essential for trustworthy software systems and explainability has been identified as a means to achieve all of these three in systems. . Like other quality aspects, explainability must be discovered and treated during the design of those systems. Although explainability has become a

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ts the presence of personal data. Finally, the DFD could be expanded to a Privacy-Aware DFD, which incorporates privacy checks into the DFD. . This is the first attempt at automatically transforming user stories into DFD using an NLP approach. The automatic approach may alleviate the burden placed o

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e results indicate that the guidelines improve the completeness and validity of the conceptual models in cases of medium complexity, although the subjects were neutral on the usefulness of the guidelines. . The guidelines may assist analysts in the refinement of user stories. Our initial evidence, b

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