NDLI: Maintenance of embedded systems: Supporting program comprehension using dynamic analysis

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Maintenance of embedded systems: Supporting program comprehension using dynamic analysis

Content Provider	IEEE Xplore Digital Library
Author	Trumper, J. Voigt, S. Dollner, J.
Copyright Year	2012
Description	Author affiliation: Hasso-Plattner-Institute - University of Potsdam, Germany (Trumper, J.; Voigt, S.; Dollner, J.)
Abstract	Maintenance of embedded software systems is faced with multiple challenges, including the exploration and analysis of the actual system's runtime behavior. As a fundamental technique, tracing can be used to capture data about runtime behavior as a whole, and represents one of the few methods to observe and record data about embedded systems within their production environments. In this paper we present a software-based, function-boundary tracing approach for embedded software systems. It uses static binary instrumentation, which implies only lightweight memory and performance overheads. To further reduce these overheads, instrumentation can be configured per trace, i.e., activated only for a specified group of functions without having to recompile the system. The technique can be characterized by its robust implementation and its versatile usage. It is complemented by a visualization framework that allows for analysis and exploration of a system's runtime behavior, e.g., to examine thread interaction. To show the technique's applicability, we conclude with a case study that has been applied to an industrial embedded software system.
Starting Page	58
Ending Page	64
File Size	1054240
Page Count	7
File Format	PDF
ISBN	9781467318525
e-ISBN	9781467318532
DOI	10.1109/SEES.2012.6225492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-09
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Runtime Embedded systems Instruments Libraries Hardware
Content Type	Text
Resource Type	Article

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