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    SEDE 2012 - International Conference on Software Engineering and Data Engineering

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    Website http://mavs.utdallas.edu/SEDE2012 | Want to Edit it Edit Freely

    Category SEDE 2012

    Deadline: March 23, 2012 | Date: June 27, 2012-June 29, 2012

    Venue/Country: Los Angeles, U.S.A

    Updated: 2012-01-06 20:52:05 (GMT+9)

    Call For Papers - CFP

    The 21st SEDE Conference is interested in gathering researchers and professionals in the domains of Software Engineering and Data Engineering to present and discuss high-quality research results and outcomes in their fields. SEDE 2012 aims at facilitating cross-fertilization of ideas in Software and Data Engineering, and hence especially encourages high-quality research integrating both domains.

    Recent trends in computing have shown a growing need for the development of distributed, decentralized computing systems that are adaptive. Hence we encourage research papers dealing with the process definition, requirements specification, modeling, design, and management of distributed, adaptive, data-intensive systems. Applied case studies will report on exemplary solutions deployed in industries such as aerospace, telecommunications, and military.

    The conference also encourages research and discussions on topics including, but not limited to:

    Requirements Engineering for Data Intensive Software Systems

    Software Verification and Model of Checking

    Model-Based Methodologies

    Software Quality and Software Metrics

    Architecture and Design of Data Intensive Software Systems

    Software Testing

    Service- and Aspect-Oriented Techniques

    Adaptive Software Systems

    Information System Development

    Software and Data Visualization

    Development Tools for Data Intensive Software Systems

    Software Processes

    Software Project Management

    Applications and Case Studies

    Engineering Distributed, Parallel, and Peer-to-Peer Databases

    Semi-Structured Data and XML Databases

    Data Integration, Interoperability, and Metadata

    Data Mining: Traditional, Large-Scale, and Parallel

    Ubiquitous Data Management and Mobile Databases

    Data Privacy and Security

    Scientific and Biological Databases and Bioinformatics

    Data Grids, Data Warehousing, OLAP

    Temporal, Spatial, Sensor, and Multimedia Databases

    Taxonomy and Categorization

    Pattern Recognition, Clustering, and Classification

    Knowledge Management and Ontologies

    Query Processing and Optimization

    Database Applications and Experiences

    Web Data Management and Deep Web


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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