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. © 2011 Springer-Verlag.
CITATION STYLE
Bucur, D. (2011). Intelligible TinyoS sensor systems: Explanations for embedded software. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6967 LNAI, pp. 54–66). https://doi.org/10.1007/978-3-642-24279-3_6
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