Intelligible TinyOS sensor systems: explanations for embedded software

  • Authors:
  • Doina Bucur

  • Affiliations:
  • Innovation Centre for Advanced Sensors and Sensor Systems, The Netherlands

  • Venue:
  • CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
  • Year:
  • 2011

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Abstract

As embedded sensing systems are central to developing pervasive, context-aware services, the applications running on these systems should be intelligible to system programmers and to users. Given that sensor systems are programmed in low-level languages, manually writing high-level explanations about their decision model requires knowledge about the system architecture, and is error-prone. We explore the possibility of extracting explanations which are small and expressive, but still preserve bit-level accuracy when needed. We contribute a tool which automatically and soundly generates compact, graphical explanations from sensor software implementation at compile-time. We base our algorithm on the techniques of (i) finite-state machine model extraction from software as used in model checking, and (ii) abstraction of program execution traces. We experiment with extracting explanations from heavyweight, low-level TinyOS applications for a mainstream sensor platform.