• DocumentCode
    2842397
  • Title

    Software Quality Synthesized Evaluation Method Based on Rough Set

  • Author

    Shi, Huiling ; Ma, Jun ; Zou, Fengyi ; Han, Mingjun

  • Author_Institution
    Shandong Comput. Sci. Center, Jinan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Software quality evaluation is complicated, and the major existing evaluation methods are too subjective in weight setting. In this paper, a synthesized evaluation method based on rough set theory is presented. This method converts the weight determination of fuzzy synthesized evaluation into the calculation of the importance of attributes in rough set theory. The weight is completely determined from the law of the data, to avoid the randomness of subjective method and the uncertainty of objective weighting method. An example shows this method is effective and feasible.
  • Keywords
    fuzzy set theory; rough set theory; software quality; fuzzy synthesized evaluation; rough set theory; software quality; synthesized evaluation method; Computer applications; Computer science; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Information systems; Set theory; Software engineering; Software quality; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5364853
  • Filename
    5364853