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Arduface: an embedded system analysis tool


Xue, W and Chung, H and Han, SC and Kim, YS and Kang, BH, Arduface: an embedded system analysis tool, Lecture Notes in Artificial Intelligence 8862: 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014) Proceedings, 1-5 December 2014, Gold Coast, Australia, pp. 472-483. ISSN 0302-9743 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-13560-1_38


An embedded system combines many hardware and software components. The more hardware and software components are used in an embedded system, the more complicated relationships occur. In order to understand the embedded system appropriately, it is necessary to have high-level expertise in both hardware and software components. However, not all the developers are expert in these two components. This research aims to resolve hardware and software components mapping problem in the embedded systems. The software model graph and the hardware model graph were extracted from source code and device configuration respectively. Using a customised graph matching technique, our method automatically identifies the code block corresponding to any hardware components selected. Our experimental results show that our method exhibits high precision for most hardware components, but low recall in general. We discuss the reason and suggest possible extensions.

Item Details

Item Type:Refereed Conference Paper
Keywords:embedded systems, program analysis, graph matching
Research Division:Information and Computing Sciences
Research Group:Software engineering
Research Field:Software engineering not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Xue, W (Mr Wanli Xue)
UTAS Author:Chung, H (Mr David Chung)
UTAS Author:Han, SC (Ms Caren Han)
UTAS Author:Kim, YS (Dr Yang Kim)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:98404
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2015-02-13
Last Modified:2018-01-16

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