Title :
Using Genetic Evolutionary Software Application Testing to Verify a DSP SoC
Author :
Cheng, Adriel ; Lim, Cheng-Chew ; Sun, Yihe ; He, Hu ; Zhou, Zhixiong ; Lei, Ting
Author_Institution :
Univ. of Adelaide, Adelaide
Abstract :
A digital signal processor (DSP) system-on-chip (SoC) can be designed using a variety of architectures and techniques. This often presents different verification challenges compared to conventional SoC or processor designs. Verification of such designs should take into account the goals and applications of the DSP, and how they are eventually used. This paper proposes an application based verification methodology and demonstrates this technique on a real-life DSP SoC design. Our technique employs a library of specially devised application functions as test building blocks, followed by a genetic evolutionary test generator to compose these application functions into effective test programs.
Keywords :
digital signal processing chips; electronic design automation; genetic algorithms; logic design; logic testing; system-on-chip; DSP SoC design; digital signal processor; genetic evolutionary software application testing; system-on-chip; Application software; Computer architecture; Digital signal processing; Digital signal processors; Genetics; Libraries; Process design; Signal design; Software testing; System-on-a-chip; SoC system testing; design verification; genetic and evolutionary algorithm;
Conference_Titel :
Electronic Design, Test and Applications, 2008. DELTA 2008. 4th IEEE International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3110-6
DOI :
10.1109/DELTA.2008.31