DocumentCode :
3659130
Title :
An Efficient Adaptive Method of Software-Based Self Test Generation for RISC Processors
Author :
Ján
Author_Institution :
Inst. of Comput. Syst. &
fYear :
2015
Firstpage :
119
Lastpage :
121
Abstract :
The contribution presents automatic software-based self (SBST) test generation for processors as a basic blocks of current complex systems on chip and embedded systems. Processors testing can be extended by functional tests or using various application programs. Such types of tests are serving as additional tests to structural testing or as tests used in verification. Functional tests (programs) are generated over an instruction set architecture and processor model description. A metric for quality evaluation of the software-based tests is obviously provided by code coverage of a processor model. A new functional test generation method, presented in the paper, is based on VHDL models of processors and genetic algorithms with using various evolutionary strategies. In addition a new method for starting population of the used genetic algorithms has been proposed. Functionality and effectiveness of the developed methods were evaluated in the implemented system AGenMIX over one type of RISC processor.
Keywords :
"Sociology","Statistics","Testing","Genetic algorithms","Reduced instruction set computing","Computers"
Publisher :
ieee
Conference_Titel :
Engineering of Computer Based Systems (ECBS-EERC), 2015 4th Eastern European Regional Conference on the
Type :
conf
DOI :
10.1109/ECBS-EERC.2015.26
Filename :
7275235
Link To Document :
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