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HCMDSS Panel Software and Systems Engineering. John Anton Kestrel Institute November 16-17, 2004. State of commercial art. How it goes today (roughly): requirements --> spec (maybe UML) --> (partially automated) code production --> testing (unit, integration, model checking) [spiral]

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HCMDSS Panel Software and Systems Engineering


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hcmdss panel software and systems engineering

HCMDSS Panel Software and Systems Engineering

John Anton

Kestrel Institute

November 16-17, 2004

state of commercial art
State of commercial art
  • How it goes today (roughly):
    • requirements --> spec (maybe UML) --> (partially automated) code production --> testing (unit, integration, model checking) [spiral]
    • Use ‘best practices’ (e.g., CMM-N)
      • UML-based tools
      • Labview, MathWorks (Matlab, Stateflow, Simulink), Modelica
      • Documentation support (e.g., through UML tools, 3GL IDEs, etc.)
    • Quality assurance
      • In-house QA, COTS tools, outsourced services
  • Problems
    • air gaps
    • referential integrity
    • tool semantics, tool integration
    • code visibility/accessibility (e.g., Labview, MathWorks)
    • code portability (e.g., MathWorks)
    • property assessment on code
    • MC/DC testing impracticality
    • high assurance can be at odds with code clarity
    • non-uniformity of product design policies and their application
some current research for high assurance code
Best practice

SEI (CMM-N)

Praxis (best practice on steroids)

Others

Model checking

CMU (strong leadership)

NASA (with work from U Kansas)

U Cincinnati (BDDs)

Rockwell-Collins (with work from UT/Austin)

Others

Code QA suppliers

tool vendors

service providers

“N-GL” environments

Programmatica (OGI/Galois)

Eclipse (IBM, public domain)

Specware (Kestrel Institute, Kestrel Technology)

“Safe” code

Simple (MISRA) C (JPL with Kernighan & Ritchie support)

Safety critical Java (The Open Group thrust with Bush, Bollella, Locke support)

Correct-by-construction technologies

Kestrel, NASA, Z, B, …

Automated certification support

AutoSmart (JavaCard, FIPS 140-2, Kestrel)

Reusable (certified) modules

Middleware (VU, Wash U, …)

Others

Aspect weaving

Code level (AspectJ,UBC, IBM)

Spec level (HandlErr, etc., Kestrel)

Others …

Some current research for high assurance code
problems to address for hcmdss
Problems to address for HCMDSS
  • Language
    • Inconsistency, lack of precision
    • Multiple disciplines for regulatory evaluators to contend with
      • Software spectrum, domain details
  • Blank screen
    • For developers, testers, evaluators
  • Application code reuse has not met initial promise
    • Optimization, platforms, change impact, mismatched models, properties of composition
considerations
Considerations
  • Formal Jargon
  • Libraries of specifications
toward efficient re cert ification formal jargon
Toward efficient (re)certification - Formal Jargon
  • What is it?
    • In each domain, a description in logic of basic terms, definitions, axioms, desirable properties, functionality, behavior, constraints
    • Organized in a semantically rich taxonomy (systematic evolution)
    • Developed, published and maintained as a standard
  • Why consider it?
    • Communication (developers, plug & play, FDA, …)
    • Improve economics in the certification process
    • Basis for (abstract) specification libraries
  • How to get there?
    • Consider development of a new “product line” of standards (NIST, The Open Group, OMG)
    • Domain participants collaborate with regulatory bodies (FAA, FDA,…)
    • Start with a single domain to serve as style-guide for others
toward efficient re cert ification specification and proof libraries
Toward efficient (re)certification - Specification and proof libraries
  • Use formal (standardized) language (Formal Jargon)
  • Libraries of specifications
    • Standardized, domain-specific language
    • Proven properties
    • Support ‘plug & play’
    • Address
      • functionality & behavior
      • interfaces (static and dynamic aspects)
      • “policies” (e.g., error handling)
    • Include reference implementations and compliance tests
    • Proof libraries
    • Mechanisms for field-time certification maintenance
      • Run-time monitoring archive review
        • Pharmaceutical experience -- but don’t wait for bad news
        • FAA framework for airplane maintenance
summary
Summary
  • Promising directions
    • Formality
    • Abstraction
  • Challenges
    • Composition
    • “Policy” (design-level mandates)
    • Runtime uncertainties
    • COTS components and certification
    • Tech transfer
slide9
Bio

John Anton is the founder of Reasoning Systems, and Kestrel Technology LLC, where he is now President/CEO. He is also President/CEO/Co-founder of the non-profit Lexia Institute, whose mission is to develop and deliver technology to help dyslexic people and their teachers. In addition, he is a Manager at the Kestrel Institute. Anton has expertise in the areas of control theory, signal processing, software technologies, and their application. As VP for Advanced R&D at Systems Control, Inc., he led a team that built the Reconfigurable Inflight Control System (RIFCS) for McDonnell Aircraft – built using technology from CTRL C (the predecessor to today’s Matlab), which was also built under his leadership. Anton was an Adjunct Professor at Santa Clara University where, for 10 years, he taught courses in linear systems theory, optimal and stochastic control, and decision theory. He received a Ph.D. in Applied Mathematics from Brown, a B.S. from Notre Dame, and was a Fulbright Fellow at the Technische Hochschule, Germany.