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Titlebook: New Perspectives in Information Systems and Technologies, Volume 2; Álvaro Rocha,Ana Maria Correia,Karl . A Stroetmann Conference proceedi

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发表于 2025-3-21 16:17:24 | 显示全部楼层 |阅读模式
书目名称New Perspectives in Information Systems and Technologies, Volume 2
编辑Álvaro Rocha,Ana Maria Correia,Karl . A Stroetmann
视频video
概述Latest research and new perspectives in Information Systems and Technologies.Results of the 2014 World Conference on Information Systems and Technologies (WorldCIST‘14), held in Madeira, Portugal, Apr
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: New Perspectives in Information Systems and Technologies, Volume 2;  Álvaro Rocha,Ana Maria Correia,Karl . A Stroetmann Conference proceedi
描述.This book contains a selection of articles from The 2014 World Conference on Information Systems and Technologies (WorldCIST‘14), held between the 15th and 18th of April in Funchal, Madeira, Portugal, a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, technological development and applications..The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Intelligent and Decision Support Systems; Software Systems, Architectures, Applications and Tools; Computer Networks, Mobility and Pervasive Systems; Radar Technologies; Human-Computer Interaction; Health Informatics and Information Technologies in Education..
出版日期Conference proceedings 2014
关键词Information Systems; Intelligent Computing; WORLDCIST 2014; WorldCISTI‘14
版次1
doihttps://doi.org/10.1007/978-3-319-05948-8
isbn_softcover978-3-319-05947-1
isbn_ebook978-3-319-05948-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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发表于 2025-3-21 20:38:04 | 显示全部楼层
Towards a Flexible and Transparent Database Evolution, subject to a schema evolution..We also present an application that relies on our framework. This application was developed without any concern regarding persistence and database evolution. However, its data is recovered in each execution, as well as objects, in previous schema versions, remain available, transparently, by means of our framework.
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An Adaptable Infrastructure to Generate Training Datasets for Decompilation Issues,rastructure to different kind of decompilation scenarios. It also makes it easier to parallelize the implementation. The generated datasets can be processed in any AI engine, training the predictive model obtained before adding it to the decompiler as a plug-in.
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MusE Central: A Data Aggregation System for Music Events,n on more events, when compared to other platforms without a data centralization approach. According to the usability survey results attained, such as an 89 SUS scale score, it was proved that the developed service is provided with a simple and intuitive interface as well.
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Conference proceedings 2014th and 18th of April in Funchal, Madeira, Portugal, a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, technological development and a
发表于 2025-3-23 01:56:54 | 显示全部楼层
,Extending Groovy’s Reification and Closures,e enhancement of Groovy Closures. In the first extension we make it possible for the user to know the types of a generic class during runtime. In the second one, Groovy closures were improved with the addition of two methods: one to provide closures return type and another to give the closure’s source code.
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An Approach for Graphical User Interface External Bad Smells Detection,ing from source code. Models are used to define which widgets are present in the interface, when can particular graphical user interface (GUI) events occur, under which conditions, which system actions are executed, and which GUI state is generated next. From these models we obtain metrics that can later be used to identify the smells.
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