Trace Management and Analysis for Embedded Systems

Generoso Pagano 1, * Damien Dosimont 2, * Guillaume Huard 2, * Vania Marangozova-Martin 3 Jean-Marc Vincent 1
* Corresponding author
1 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 MOAIS - PrograMming and scheduling design fOr Applications in Interactive Simulation
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : The growing complexity of embedded system hardware and software makes their behavior analysis a challenging task. In this context, tracing appears to be a promising solution as it provides relevant information about the system execution. However, trace management and analysis are hindered by several issues like the diversity of trace formats, the incompatibility of trace analysis methods, the problem of trace size and its storage as well as by the lack of visualization scalability. In this paper we present FrameSoC, a new trace management infrastructure that solves all the above issues together. It provides generic solutions for trace storage and defines interfaces and plugin mechanisms for integrating diverse analysis tools. We illustrate the benefit of FrameSoC with a case study of a visualization module that enables representation scalability of large traces by using an aggregation algorithm.
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Generoso Pagano, Damien Dosimont, Guillaume Huard, Vania Marangozova-Martin, Jean-Marc Vincent. Trace Management and Analysis for Embedded Systems. [Research Report] RR-8304, INRIA. 2013, pp.21. ⟨hal-00821907⟩

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