• DocumentCode
    2455952
  • Title

    Novel Approach for Test Methods Automatic Selection in Product Reliability: Improved Method for Acquiring Part-Whole Relation

  • Author

    Ohmori, Nobuyuki ; Mori, Tatsunori

  • Author_Institution
    ´´Grad. Sch. of Environ. & Inf. Sci., Yokohama Nat. Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    12-14 Dec. 2010
  • Firstpage
    834
  • Lastpage
    839
  • Abstract
    In the product development process, test planning can be a time-consuming task, in particular, the test methods for product reliability are usually selected manually because many documents must be referred to when selecting suitable test methods. To make this process more efficient, we have been researched methods to support test planning. In this paper a new automatic selection method for test plans is proposed. The proposed method makes use of information pertaining to cases of failure. We describe a method for searching for failure cases among products having similar attributes for a product currently under consideration. The main principle of this method consists in automated acquisition of names describing the product´s constituent components for use in the search process. Experimental results show that the proposed method delivers a greater degree of acquisition performance, precision, and recall in acquiring names of components compared with a previously proposed method.
  • Keywords
    computer bootstrapping; process planning; product development; production engineering computing; production testing; reliability; search problems; automated acquisition; bootstrapping; product constituent components; product development process; product reliability; product testing; search process; test methods automatic selection; test planning; Context; Databases; Engines; Planning; Reliability; Standards; Testing; bootstrapping; co-occurrence; pattern; product component; product evaluation; relationship acquisition; test method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-9211-4
  • Type

    conf

  • DOI
    10.1109/ICMLA.2010.129
  • Filename
    5708952