• DocumentCode
    2211903
  • Title

    Research of E-Commerce Software Quality Evaluation Using Rough Set Theory

  • Author

    Shi Huiling ; Ma Jun ; Zou Fengyi

  • Author_Institution
    Shandong Comput. Sci. Center, Jinan, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3006
  • Lastpage
    3009
  • Abstract
    In order to overcome the subjectivity on weight allocation of the traditional evaluation methods in e-commerce software quality evaluation, based on the object classification capability of rough set theory, the paper presents a completely data-driven e-commerce software quality evaluation method using measurement methods of knowledge dependence and attribute importance in rough set theory. It overcomes the subjectivity and ambiguity of traditional evaluation methods. An example is presented to explain the evaluation process.
  • Keywords
    electronic commerce; rough set theory; software quality; attribute importance; e-commerce software quality evaluation; knowledge dependence; measurement method; object classification; rough set theory; Computer science; Data engineering; Electronic commerce; Information science; Information systems; Knowledge engineering; Resource management; Set theory; Software measurement; Software quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.911
  • Filename
    5454693