Detail publikace

RTL Testability Analysis Based on Genetic Algorithm Implementation

STRNADEL, J., KOTÁSEK, Z.

Originální název

RTL Testability Analysis Based on Genetic Algorithm Implementation

Anglický název

RTL Testability Analysis Based on Genetic Algorithm Implementation

Jazyk

en

Originální abstrakt

The paper deals with a new approach to the RTL testability analysis. The approach is based on genetic algorithms theory and applies registers selected into UUA (Unit Under Analysis) scan chain as a population in genetic algorithm process. Quality of selecting registers into UUA scan chain is evaluated by the fitness function, which takes into account the number of registers selected into UUA scan chain, number of UUA testable nodes and cost measure needed to test all UUA nodes.

Anglický abstrakt

The paper deals with a new approach to the RTL testability analysis. The approach is based on genetic algorithms theory and applies registers selected into UUA (Unit Under Analysis) scan chain as a population in genetic algorithm process. Quality of selecting registers into UUA scan chain is evaluated by the fitness function, which takes into account the number of registers selected into UUA scan chain, number of UUA testable nodes and cost measure needed to test all UUA nodes.

Dokumenty

BibTex


@inproceedings{BUT5611,
  author="Zdeněk {Kotásek} and Josef {Strnadel}",
  title="RTL Testability Analysis Based on Genetic Algorithm Implementation",
  annote="The paper deals with a new approach to the RTL testability analysis. The approach is based on genetic algorithms theory and applies registers selected into UUA (Unit Under Analysis) scan chain as a population in genetic algorithm process. Quality of selecting registers into UUA scan chain is evaluated by the fitness function, which takes into account the number of registers selected into UUA scan chain, number of UUA testable nodes and cost measure needed to test all UUA nodes.",
  address="unspecified agency",
  booktitle="Proceedings of the Tenth ICNACSA",
  chapter="5611",
  institution="unspecified agency",
  year="2001",
  month="december",
  pages="89",
  publisher="unspecified agency",
  type="conference paper"
}