DocumentCode :
2862386
Title :
Study on Automatic Test Generation of Digital Circuits Using Particle Swarm Optimization
Author :
Yuan-liang, Gu ; Wen-bo, Xu
Author_Institution :
IoT Eng., Jiangnan Univ., Wuxi, China
fYear :
2011
fDate :
14-17 Oct. 2011
Firstpage :
324
Lastpage :
328
Abstract :
The development of digital integrated circuit has put forward urgent demands for test technology. Test technology has become a bottleneck in the application of LSI/VLSI. Especially for sequential circuits, it is still a problem which is not resolved completely in theory. By making use of the structure information of circuits, a method of automatic test generation for sequential circuits based on Particle swarm optimization is presented, which is performed by two steps, initialization and fault detection. Experimental results show that the approach can achieve high fault coverage, and CPU times needed for test generations are very short, which shows that it is a method deserving research.
Keywords :
automatic test pattern generation; digital integrated circuits; particle swarm optimisation; automatic test generation; digital circuits; digital integrated circuit; fault detection; particle swarm optimization; sequential circuits; test technology; Birds; Circuit faults; Convergence; Generators; Particle swarm optimization; Sequential circuits; Signal processing algorithms; Automatic Test Generation; Particle Swarm Algorithm; Sequential Circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
Conference_Location :
Wuxi
Print_ISBN :
978-1-4577-0327-0
Type :
conf
DOI :
10.1109/DCABES.2011.84
Filename :
6118717
Link To Document :
بازگشت