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Topic 1: Emerging paradigms for improvements of software reliability

Topic 1: Emerging paradigms for improvements of software reliability. Outbrief summary. Topic 1: Emerging paradigms for improvements of software reliability. Issues and research ideas (1) How to represent, understand and visualize complex dependencies among components?

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Topic 1: Emerging paradigms for improvements of software reliability

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  1. Topic 1: Emerging paradigms for improvements of software reliability Outbrief summary

  2. Topic 1: Emerging paradigms for improvements of software reliability Issues and research ideas (1) • How to represent, understand and visualize complex dependencies among components? • We have to recognize that SW will never be perfect. We better prepare to accept and manage imperfect SW, and research should focus on this. • Fault management should be integrated with planning to figure out how to reconfigure the system upon a failure. Software FDIR–How? • Fault containment and isolation must be designed into SW systems (as it is designed into physical systems) • Cost of SW reliability has to be considered in the context of ROI. • QoS issues should be address both statically (design-time) and dynamically (run-time). Both have to be addressed while building FCS. • Scale of complexity: code size, multiple end-to-end req’s in a distributed systems, multiple layers, changing number of participants, very dynamic environment

  3. Topic 1: Emerging paradigms for improvements of software reliability Issues and research ideas (2) • Model-based Analysis/Testing requires a model (abstraction) of the system based on the requirements. How does this scale up to the level of system of systems on FCS? • What is being done: guidelines for FCS suppliers (JA-1003) • If commercial technology is used, QoS concerns (“controls”) have to be “bolted” onto it. Consequence: technology-neutral specification of QoS is needed. • QoS-based resource allocation – trade-offs between reliability and other aspects. • Model-based toolchains should allow debugging in terms of the high-level models. • Novel paradigm: Dynamic adaptability / Goal-driven programming • To address needs of fault mgmt • Analogy with adaptive control … but must be analyzable.. • Paradigms should support early analysis with uncertain requirements – Design space exploration

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