• DocumentCode
    288043
  • Title

    A formal knowledge-based data-fusion language for safety-critical applications

  • Author

    Moulding, M.R. ; Newton, A.R.

  • Author_Institution
    Software Eng. Group, R. Mil. Coll. of Sci., Swindon, UK
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    42522
  • Lastpage
    618
  • Abstract
    This paper outlines the features of a novel applications-specific language which has been developed to describe naval data fusion solutions using the DRA´s blackboard approach. This DFL is paradigm-specific in that it defines a rule-based blackboard system, and domain-specific in that the blackboard has been configured to support the fusion of radar and ESM data in a naval context. A primary design concept of the language is that solutions expressed in it have a unique and precise mapping to a formal specification comprising inter-linked VDM and CSP models. In so doing, we aim to provide a language which aids the natural expression of a data-fusion solution, whilst at the same time providing a formal underpinning which makes that solution amenable to formal analysis. Thus we attempt to create a bridge between the informal world of the domain expert and the formal world of the safety-critical system developer. Having provided a formal model of a DFL program, we can exploit this to provide animation and rapid prototyping, as well as formal bespoke system development
  • Keywords
    blackboard architecture; formal specification; military computing; naval engineering computing; safety; sensor fusion; CSP models; VDM; applications-specific language; bespoke system development; blackboard approach; formal knowledge-based data-fusion language; formal specification; naval data fusion solutions; rapid prototyping; rule-based blackboard system; safety-critical applications;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Knowledge-Based Systems for Safety Critical Applications, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    369617