• DocumentCode
    2983522
  • Title

    Measuring software functional size: towards an effective measurement of complexity

  • Author

    De Tran-Cao ; Levesque, Ghislain ; Abran, Alain

  • Author_Institution
    Quebec Univ., Montreal, Que., Canada
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    370
  • Lastpage
    376
  • Abstract
    Data manipulation, or algorithmic complexity, is not taken into account adequately in any of the most popular functional size measurement methods. In this paper, we recall some well-known methods for measuring problem complexity in data manipulation and highlight the interest in arriving at a new definition of complexity. Up to now, the concept of effort has always been associated with complexity. This definition has the advantage of dissociating effort and complexity, referring instead to the characteristics and intrinsic properties of the software itself. Our objective is to propose some simple and practical approaches to the measurement of some of these characteristics which we consider particularly relevant and to incorporate them into a functional size measurement method.
  • Keywords
    software cost estimation; software metrics; algorithmic complexity; complexity measurement; data manipulation; software functional size measurement; Computer languages; Engineering management; Lab-on-a-chip; Laboratories; Particle measurements; Size measurement; Software algorithms; Software engineering; Software measurement; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 2002. Proceedings. International Conference on
  • ISSN
    1063-6773
  • Print_ISBN
    0-7695-1819-2
  • Type

    conf

  • DOI
    10.1109/ICSM.2002.1167793
  • Filename
    1167793