• DocumentCode
    1782782
  • Title

    Knowledge extraction tacit for software process improvement in a governmental organization

  • Author

    Mejia, Jezreel ; Munoz, M. ; Rojo, Guillermo ; Tinajero, Ivan E. ; Ramirez Heltton, E. ; Garcia, Juan Manuel

  • Author_Institution
    Centro de Investig. en Mat. (CIMAT, A. C.), Zacatecas, Mexico
  • fYear
    2014
  • fDate
    18-21 June 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The product quality is heavily influenced by the quality of the software processes associated within any organization of software product and services development. However, an aspect in common among these organizations is the lack of ability to build or formalize tacit knowledge that allows them to maximize their competitiveness and focus efforts on the implementation of software process improvement. Therefore, this paper presents a method for the extraction of tacit knowledge applied in a government organization. The method integrates the identification of the current state of the organization, a s well as, extract, identify and define best practices within the organization, to understand how they work. In addition, a case study is presented in order to obtain results of the proposed method.
  • Keywords
    government data processing; knowledge acquisition; software process improvement; governmental organization; product quality; services development; software process improvement; software process quality; software product organization; tacit knowledge extraction; Abstracts; Best practices; ISO standards; Organizations; Silicon compounds; Software; Software engineering; Best Practices; Extraction Knowledge; Tacit Knowledge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/CISTI.2014.6877004
  • Filename
    6877004