The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.
The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).
Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.
The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.
HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.
HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).
The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).
LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.
The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.
Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics
The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.
Scalable Composition, Evolution and Veriﬁcation
Through Feature-Oriented Programming
Worcester Polytechnic Institute
University of Texas at Austin
A growing trend in software construction advocates a change in system modularity. While traditional modules permit easy re-conﬁguration of a system to support different actors, these new modules encapsulate features. These modules better match the language of requirements. As a result, programmers ﬁnd it easier to design, compose and evolve systems. We have demonstrated, through theory and experiment,that these beneﬁts extend to software veriﬁcation also. This program now requires work on programming language and environment design and implementation, type systems, interface languages, and more re-ﬁned veriﬁcation techniques. Our long-term goal is to build on these successes to carry feature-oriented system construction to maturity, through collaboration and cross-pollination between software engineering, programming languages and formal veriﬁcation.
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