Titlebook: Intelligent Distributed Computing XIII; Igor Kotenko,Costin Badica,Mirjana Ivanovic Conference proceedings 2020 Springer Nature Switzerlan

BULLY

mosque

An Experiment on Automated Requirements Mapping Using Deep Learning Methods classification of requirements in two classes: “Integration Test” and “Software Test” using Machine Learning approaches. Our solution could help the requirements engineers by speeding up the classification of requirements and thus reducing the time to market of final products.

存心

符合規(guī)定

精美食品

978-3-030-32260-1Springer Nature Switzerland AG 2020

豐滿(mǎn)中國(guó)

Intelligent Distributed Computing XIII978-3-030-32258-8Series ISSN 1860-949X Series E-ISSN 1860-9503

輪流

LAP

Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/469647.jpg

壓艙物

Conceptual Data Modeling Using Aggregates to Ensure Large-Scale Distributed Data Management Systems sting conceptual data models and their suitability for the problem are considered in the paper. The authors propose a new aggregate model for conceptual big data description in large-scale distributed data management systems security subsystems. The paper presents the mapping of the DBMS data models to the new conceptual model.

cleaver

Smart Topic Sharing in IoT Platform Based on a Social Inspired Brokers paper we present a social IoT approach based on a social broker paradigm. In our proposal, the sharing of information among entities requires a common semantic model to make the information meaningful. We also introduce the concept of topics semantics and we show a solution to share them among brokers.