• Big Data
    Interagency Working Group
    (BD IWG)

    The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.

    BigData
  • Cyber Physical Systems Interagency Working Group (CPS IWG)

    The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).

    CPS
  • Cyber Security and Information Assurance Interagency Working Group (CSIA IWG)

    Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.

    CSIA
  • Health IT R&D
    Interagency Working Group

    The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.

    healthitrd
  • Human Computer Interaction & Information Management Interagency Working Group (HCI&IM IWG)

    HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.

    hciim
  • High Confidence Software & Systems Interagency Working Group (HCSS IWG)

    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).

    hcss
  • High End Computing Interagency Working Group (HEC IWG)

    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).

    hec
  • Large Scale Networking Interagency Working Group
    (LSN IWG)

    LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.

    lsn
  • Software Productivity, Sustainability, and Quality Interagency Working Group (SPSQ IWG)

    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.

    sdp
  • Video and Image Analytics
    Interagency Working Group (VIA IWG)

    Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics

    VIA CG
  • Wireless Spectrum Research and Development Interagency Working Group (WSRD IWG)

    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.

    WSRD

File:Barry boehm value based software.pdf

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Barry_boehm_value_based_software.pdf(file size: 29 KB, MIME type: application/pdf)

White Paper for Workshop on New Visions for Software Design and Productivity

Title: Value Based Software Engineering

Barry Boehm and Dan Port, University of Southern California

Kevin Sullivan, University of Virginia

...

Abstract

The primary thesis of Value-Based Software Engineering (VBSE) is that the integration of a software system’s stakeholder value propositions into the system’s definition, design, development, deployment, and evolution is critical to the system’s success. This white paper:

· Analyzes the sources of software project failure in the Standish Report, and shows that many of the failed projects were caught in the vise of valueinsensitive software engineering.

· Discusses promising research ideas for improving our capability to perform VBSE.

· Presents a roadmap for making progress toward VBSE and its resulting benefits.

The white paper concludes with a summary of the relations between VBSE and other software research and applications areas. It is unavoidably involved with software and information system product and process technology, and their interaction with human values. It is strongly empirical, but includes new concepts in need of stronger theory. It uses risk considerations to balance software discipline and flexibility, and to answer other key “how much is enough?” questions. And it helps illuminate information technology policy decisions by identifying the quantitative and qualitative sources of cost and value associated with candidate decisions.

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