Software Design & Productivity - NITRD · Software Design & Productivity DoD Challenges &...
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1 Software Design & Productivity DoD Challenges & Expectations Dr. Douglas C. Schmidt Deputy Director & Program Manager DARPA ITO [email protected]
Transcript of Software Design & Productivity - NITRD · Software Design & Productivity DoD Challenges &...
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Software Design & ProductivityDoD Challenges & Expectations
Dr. Douglas C. SchmidtDeputy Director & Program ManagerDARPA [email protected]
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Why DoD Cares About SDP
DoD strategic directions involve or depend extensively on software design quality & productivity:•Unmanned combat air vehicles & ground vehicles
•Cruise & ballistic missile defense •Time-critical target prosecution•Space systems
Lessons learned by DoD•Battles are fought with weapons…
•…but they are won with information technology
Lessons learned by DoD•Battles are fought with weapons…
•…but they are won with information technology
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Key SDP Challenges for DoD
Collateral damage & inadequate defense
COTS isn’t designed for DoD level of quality
Increasing push towards COTS
Cap on complexity of DoD systems
Diminishing human IT resources
IT talent leaving the military domain
Loss of core IT R&D community for DoD & degraded capabilities
IT R&D community not well organized to defend funding
Increasing reluctance to fund basic IT R&D in mission agencies
Recurring time & cost overrun problems are “normal”
System integration costs are sky-rocketing (over 40%)
Role of computing has changed from auxiliary functions to system integration
ConsequencesProblemsTrends
Ultimately, national security & economic prosperity depend on sustained IT R&D investments on SDP technologies for complex software systems
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How You Can Help Us
•Show how we can overcome the barriers between state-of-the-art & state-of-the practice in software IT
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•Describe compelling threats & emerging applications that motivate significant new IT R&D efforts, i.e., what can’t we do now?
•Articulate the promising technol-ogies that can meet these needs•e.g., performance optimization tech-niques, languages, tools, methods, etc.
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hi•Explain how we can enhance & extend existing software technologies to meet future needs
•But focus on the radical new directions for future success
JavaLinuxRT CORBA
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