Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

EA-CRT: An Error Analysis Method with Embedded Code Reverse Technology

Authors
Jinshuo Liu, Yusen Chen, Weixin Zhang, Xiangyang Xu, Jingjing Yan, Qingjiang Wang
Corresponding Author
Jinshuo Liu
Available Online January 2016.
DOI
10.2991/icca-16.2016.53How to use a DOI?
Keywords
Code reverse engineering, EA-CRT, Model based test
Abstract

The study of error analysis with embedded code reverse technology needs integration of decompiling, error module depict and comparison. This paper proposes an error analysis method for testing embedded code, and utilizes the smart meter’s fault, white and black screen, as the example. Our method has been validated 12 times on Renesas chips of the smart meter of Wasion Group, with the Open Source Code. The experiment shows that the proposed method is 87% effective for the fault model of black and white.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/icca-16.2016.53
ISSN
2352-538X
DOI
10.2991/icca-16.2016.53How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jinshuo Liu
AU  - Yusen Chen
AU  - Weixin Zhang
AU  - Xiangyang Xu
AU  - Jingjing Yan
AU  - Qingjiang Wang
PY  - 2016/01
DA  - 2016/01
TI  - EA-CRT: An Error Analysis Method with Embedded Code Reverse Technology
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 230
EP  - 233
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.53
DO  - 10.2991/icca-16.2016.53
ID  - Liu2016/01
ER  -