• DocumentCode
    2080527
  • Title

    A comprehensive evaluation methodology for domain specific software benchmarking

  • Author

    Meng, Zhiming ; Liu, Xiaoqiang ; Yang, Genxing ; Cai, Lizhi ; Liu, Zhenyu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1047
  • Lastpage
    1051
  • Abstract
    With the wide using of information system, software users are demanding higher quality software and the software developers are pursue the “best-in-class” practice in a specific domain. But till now it is difficult to get an evaluation result due to lack of benchmark method. This paper proposes a systematic, practical and simplified evaluation methodology for domain specific software benchmarking. In this methodology, an evaluation model with software test characteristics (elementary set) and domain characteristics (extended set) is described; in order to weaken the uncertainty of subjective and objective, the rough set theory is applied to gain the attributes weights, and the gray analysis method is introduced to remedy the incomplete and inadequate information. The method is useful to assess characteristics, sub-characteristics and attribute that influence the domain specific software product quality qualitative and quantitative. The evaluation and benchmarking results prove that the model is practical and effective.
  • Keywords
    program testing; rough set theory; software performance evaluation; software quality; comprehensive evaluation methodology; domain specific software benchmarking; gray analysis method; information system; rough set theory; software developers; software product quality; software test characteristics; software users; Benchmark testing; Reliability; Usability; benchmarking; comprehensive evaluation; domain specific software; gray analysis method; rough set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6788-4
  • Type

    conf

  • DOI
    10.1109/PIC.2010.5688006
  • Filename
    5688006