SEDE 2012 - International Conference on Software Engineering and Data Engineering
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Website http://mavs.utdallas.edu/SEDE2012 |
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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 SystemsSoftware Verification and Model of Checking Model-Based MethodologiesSoftware Quality and Software Metrics Architecture and Design of Data Intensive Software SystemsSoftware TestingService- and Aspect-Oriented TechniquesAdaptive Software SystemsInformation System DevelopmentSoftware and Data VisualizationDevelopment Tools for Data Intensive Software SystemsSoftware ProcessesSoftware Project Management Applications and Case StudiesEngineering 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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