• DocumentCode
    525400
  • Title

    The technology for automatically generating circuit-debug document based on association rules

  • Author

    Zang, Ming-Xiang ; Li, Yuan-Yuan ; Guo, Rui-Gang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Abstract
    As many kinds of EDA tools are used in electronic circuit design, a technology for automatically generating circuit-debug document based on association rules is presented, for a variety of disadvantages existing in producing debug document. By automatically extracting the debug information of heterogeneous EDA design data, in depth mining the association rules among the different information while using the Apriori model, knowledge base is formed. When intelligently reusing the debug information and utilizing the relevance among multiple debug document libraries, various types of circuit-debug document are generated automatically and quickly. The system with the presented technology has been already applied to electronic circuit design, which shows that the technology not only optimizes the circuit-debug process, but also improves the automaticity, accuracy, intelligence and normalization for generating document.
  • Keywords
    data mining; document handling; electronic design automation; Apriori model; EDA tools; association rules; circuit-debug document; depth mining; electronic circuit design; electronic design automation; Algorithm design and analysis; Association rules; Circuit simulation; Computer science; Data mining; Electronic circuits; Electronic design automation and methodology; Integrated circuit modeling; Libraries; Process design; Apriori algorithm; association rules; automatic generation; heterogeneous EDA; intelligently reuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design and Applications (ICCDA), 2010 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-7164-5
  • Electronic_ISBN
    978-1-4244-7164-5
  • Type

    conf

  • DOI
    10.1109/ICCDA.2010.5541348
  • Filename
    5541348