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Software Assurance: What Should We Do next?
Software Design for Reliability
Ivica Crnkovic
Mälardalen University, Sweden
ivica.crnkovic@mdh.se, www.idt.mdh.se/~icc
COMPSAC July 24, Kyoto
7/24/2013 COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto 2
Panel Chair
Mohammad Zulkernine, Queen's University, Canada
Panelists
Ivica Crnkovic, Mälardalen University, Sweden
T.H. Tse, The University of Hong Kong, Hong Kong
Bruce McMillin, Missouri University of Science & Technology, USA
Tetsutaro Uehara, Kyoto University, Japan
Mälardalen University, Västerås,
Sweden
COMPSAC 2014
July 21-25
7/24/2013 3COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
ASE 2014
Sep 14-19
Reliability – is that enough?
• Reliability is defined as the probability that a
system will perform its intended function during a
specified period of time under stated conditions.
• Assumptions:
– Reliability is predicated on "intended function:” i.e. a
particular operation without failure.
– Reliability applies to a specified period of time.
– Reliability is restricted to operation under stated (or
explicitly defined) conditions.
7/24/2013 4COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
Microkernel Complexity - function call graph 2011
NICTA (ABN: 62 102 206 173)
(this is simple)
Software Complexity
7/24/2013 5COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
What is software of today?
The Blue Brain Project
http://bluebrain.epfl.ch/cms/lang/en/pid/56882
What is Software of Today?
7/24/2013 6
8 years of Unix evolution
http://www.levenez.com/unix/unix.pdfSoftware Evolution
COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
What is software of today?
7/24/2013 7
Software ubiquity
Augmented reality
Dynamic EnvironmentCOMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
Reliability: Robustness vs. Resilience ?
7/24/2013
COMPSAC 2013, Panel "Software Assurance -
what should we do next?" , Kyoto
8
Robust & resistant systems”
states
• Highly controlled
• Operates in a narrow band
• Predefined states (“modes”)
• Top-down design
• Challenge: predict all states
caused by the environment
• A broad spectrum of possible equilibrium state
• Not necessary all states are predicted
• Adaptive and evolving systems
• impact of the system on the environment
• Challenge:
• Adaptation
• Optimal performance in different states
• Minimize unwanted impact on the
environment
“Resilient systems”
Software Design
7/24/2013 9
Reliability
Robustness
Adaptability
Resilience
COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
Challenges
• Design
– Bottom-up vs. top-down
– Composability vs. analyzability
– Static vs. dynamic deployment
– Robustness vs. adaptability
– Predictability vs. monitoring and healing
– Embedded vs. service-oriented
– Design by Contract
7/24/2013 10COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto

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Software Assurance: Reliability vs Resilience

  • 1. Software Assurance: What Should We Do next? Software Design for Reliability Ivica Crnkovic Mälardalen University, Sweden ivica.crnkovic@mdh.se, www.idt.mdh.se/~icc COMPSAC July 24, Kyoto
  • 2. 7/24/2013 COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto 2 Panel Chair Mohammad Zulkernine, Queen's University, Canada Panelists Ivica Crnkovic, Mälardalen University, Sweden T.H. Tse, The University of Hong Kong, Hong Kong Bruce McMillin, Missouri University of Science & Technology, USA Tetsutaro Uehara, Kyoto University, Japan
  • 3. Mälardalen University, Västerås, Sweden COMPSAC 2014 July 21-25 7/24/2013 3COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto ASE 2014 Sep 14-19
  • 4. Reliability – is that enough? • Reliability is defined as the probability that a system will perform its intended function during a specified period of time under stated conditions. • Assumptions: – Reliability is predicated on "intended function:” i.e. a particular operation without failure. – Reliability applies to a specified period of time. – Reliability is restricted to operation under stated (or explicitly defined) conditions. 7/24/2013 4COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
  • 5. Microkernel Complexity - function call graph 2011 NICTA (ABN: 62 102 206 173) (this is simple) Software Complexity 7/24/2013 5COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto What is software of today? The Blue Brain Project http://bluebrain.epfl.ch/cms/lang/en/pid/56882
  • 6. What is Software of Today? 7/24/2013 6 8 years of Unix evolution http://www.levenez.com/unix/unix.pdfSoftware Evolution COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
  • 7. What is software of today? 7/24/2013 7 Software ubiquity Augmented reality Dynamic EnvironmentCOMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
  • 8. Reliability: Robustness vs. Resilience ? 7/24/2013 COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto 8 Robust & resistant systems” states • Highly controlled • Operates in a narrow band • Predefined states (“modes”) • Top-down design • Challenge: predict all states caused by the environment • A broad spectrum of possible equilibrium state • Not necessary all states are predicted • Adaptive and evolving systems • impact of the system on the environment • Challenge: • Adaptation • Optimal performance in different states • Minimize unwanted impact on the environment “Resilient systems”
  • 9. Software Design 7/24/2013 9 Reliability Robustness Adaptability Resilience COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto
  • 10. Challenges • Design – Bottom-up vs. top-down – Composability vs. analyzability – Static vs. dynamic deployment – Robustness vs. adaptability – Predictability vs. monitoring and healing – Embedded vs. service-oriented – Design by Contract 7/24/2013 10COMPSAC 2013, Panel "Software Assurance - what should we do next?" , Kyoto

Hinweis der Redaktion

  1. robustness is the ability of a computer system to cope with errors during execution or the ability of an algorithm to continue to operate despite abnormalities in input, calculations, etc.