DocumentCode :
1773567
Title :
Automatic generation of test instructions for path delay faults based-on stuck-at fault in processor cores using assignment decision diagram
Author :
Shaheen, Ateeq-Ur-Rehman ; Hussin, Fawnizu Azmadi ; Hamid, Nor Hisham ; Ali, Noohul Basheer Zain
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2014
fDate :
3-5 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a satisfiability-based automatic test instruction program generation to test the path delay faults using stuck-at fault in processor cores. Pre-computed test vectors are applied using the test instructions during normal processor execution. The proposed framework uses the assignment decision diagram (ADD) which represents the structural description of the register transfer level (RTL) circuit to extract the paths. ADD representation and instruction set architecture (ISA) information eliminates the paths that are untestable by the instructions during path extraction. The satisfiability (SAT)-solver is used to generate the sequence from conjunctive normal form (CNF) to find the justification/propagation paths. Test sequence is mapped to ISA to generate the test instruction program. A parwan processor module is used to validate our approach.
Keywords :
computability; decision diagrams; instruction sets; integrated circuit testing; system-on-chip; ADD representation; CNF; ISA information; Parwan processor module; RTL circuit; SAT-solver; SoC; assignment decision diagram; conjunctive normal form; instruction set architecture; justification-propagation paths; path delay fault based-on stuck-at fault; path extraction; pre-computed test vectors; processor cores; register transfer level circuit; satisfiability-based automatic test instruction program generation; test sequence; Adders; Logic gates;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4654-9
Type :
conf
DOI :
10.1109/ICIAS.2014.6869530
Filename :
6869530
Link To Document :
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