DocumentCode
506405
Title
Assessing combinatorial interaction strategy for reverse engineering of combinational circuits
Author
Younis, Mohammed I. ; Zamli, Kamal Z.
Author_Institution
Sch. of Electr. & Electron., Univ. Sains Malaysia, Nibong Tebal, Malaysia
Volume
1
fYear
2009
fDate
4-6 Oct. 2009
Firstpage
473
Lastpage
478
Abstract
T-way test data generators play an immensely important role for both hardware and software configuration testing. Earlier work concludes that t-way test data generator can achieve 100% coverage without having to regard for more than 6 way interactions. In this paper, we investigate whether or not such a conclusion can be applicable for reverse engineering of combinational circuits. In this case, we reverse engineer a faulty commercial eight segment display controller using our t-way test data generator in order to redesign the replacement unit. We believe that our application of t-way generators for circuit identification is novel. The results demonstrate the need of more than 6 parameter interactions as well as suggest the effectiveness of cumulative test data for reverse engineering applications.
Keywords
circuit analysis computing; combinational circuits; display instrumentation; logic testing; reverse engineering; circuit identification; combinational circuits; combinatorial interaction strategy; display controller; faulty commercial eight segment; reverse engineering; t-way test data generators; Application software; Circuit faults; Circuit testing; Combinational circuits; Electronic equipment testing; Hardware; Industrial electronics; Reverse engineering; Software testing; System testing; Combinational Circuits; Combinatorial Interaction; Configuration Testing; Multi-Way Testing; T-Way Testing; Test Data Generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-4681-0
Electronic_ISBN
978-1-4244-4683-4
Type
conf
DOI
10.1109/ISIEA.2009.5356419
Filename
5356419
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