Future SoD Funding Directions

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Future SoD Funding Directions
Alan R. Hevner Program Director CISENational
Science Foundation
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Presentation Outline

• Motivation Promoting Science of Design in
  Software-Intensive Systems Research at NSF
• FY 2008 Software Research Programs
• Software-Intensive Systems and Technology (SIST)
  Research Vision
• Questions and Feedback

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Design Science in Information Systems

• Healthy On-Going Discussion on the Relationship
  between Natural Science and Design Science in IS
• A. Hevner, S. March, J. Park, and S. Ram, Design
  Science Research in Information Systems,
  Management Information Systems Quarterly, Vol.
  28, No. 1, March 2004, pp. 75-105.
• Selected in October 2005 as ISI-Thompson Fast
  Breaking Paper
• Over 100 Citations in Google Scholar

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Promoting SoD Research at NSF

• Future software-intensive systems will be very
  different from current systems
• Advances in hardware, networking, HCI, and domain
  applications
• New approaches for understanding and managing
  complexity, quality, cost, and sustainability
• Innovative, disruptive theories, models, methods,
  and tools are needed to move software-intensive
  systems into the next generation of computing
  environments.

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FY 2007 NSF Software Funding

• Software Engineering and Languages (SEL) in CPA
  Cluster
• Total Funds 4.7M
• 6 of Regular SEL Proposals (8/127 projects)
• 15 of SEL CAREER Proposals (6/38 projects)
• May improve based on enhanced NSF budget
• Science of Design (SoD) CISE cross-divisional
  program
• Total Funds 10M
• 94 Projects received (Estimated 12-15 projects
  funded)

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FY 2008 Budget Request

• Core Research in Divisions
• SEL (Software Engineering and Languages) funding
  in CCF (10M)
• CRS (Computer Systems Research) funding in CNS
  (30M)
• CreativeIT funding in IIS (10M)
• CISE Directorate Initiatives
• Software Design and Productivity (10M)
• Computing Foundations and Research (50M)
• NSF Initiatives
• Cyber-enabled Discovery and Innovation (20M
  CISE portion of 52M for NSF)

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Software Design and Productivity

• Development of innovative theories, methods, and
  tools
• New computational models for software-intensive
  systems
• Semantics-directed computation of correct
  abstractions for human understanding and
  manipulation

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Software-Intensive Systems and Technology (SIST)
Vision

• SIST The creation and application of
  foundational scientific theories and effective
  engineering methods to the development of
  software-intensive systems and technology.
• SIST Objectives
• Intellectual Amplification Extend human
  capabilities
• Span of Control Revolutionize management and
  control of complex SIST
• Value Generation Create new value propositions
  and broad impacts for human society

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Software-Intensive Systems and Technologies
(SIST) Research Vision
SIST Scientific Theories
SIST Engineering Methods

• Science of Design Theories
• Building Artifacts
• Evaluating Artifacts
• Artifact Behaviors
• Artifact Qualities
• Representations
• Utility Theories
• Dynamic System Theories
• Control Theories
• Emergent Behaviors
• Emergent Qualities
• Adaptive Design Theories
• Real-Time Systems
• Socio-Economic Theories
• Human Cognitive Abilities
• Social and Group Behaviors
• Human-Computer Interaction
• Economic Theories
• Market Forces

• Imagination
• Stakeholders
• Needs
• Requirements
• Architecture
• Models (Predictive)
• Static Structures
• Dynamic Structures
• Realization
• Provisioning
• Acquisition
• Components and Services
• Verification and Validation
• Operations
• User Transaction Flows
• Transaction Management
• Dynamic Control
• Adaptation
• Feedback

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SIST Principles

• Scale-Free Abstraction
• Complex, Ultra-Large Scale SIST
• Computational Science and Engineering
• Rigorous, Mathematics-Based Foundations
• Design Decision-Making
• Models that embody Social, Economic, and
  Aesthetic criteria

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Questions and Feedback