• DocumentCode
    3741340
  • Title

    Improvements to a complexity metric: CB measure

  • Author

    D. I. De Silva;N. Kodagoda;S. R. Kodituwakku;A. J. Pinidiyaarachchi

  • Author_Institution
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  • fYear
    2015
  • Firstpage
    401
  • Lastpage
    406
  • Abstract
    Controlling the complexity of software applications is an essential part of the software development process as it directly affects maintenance activities such as reusability, understandability, modifiability and testability. However, as stated by Tom DeMarco “You cannot control what you cannot measure”. Thus, over the years many complexity metrics have been proposed with the intention of controlling and minimizing the complexity associated with software. However, majority of these proposed complexity metrics are based on only one aspect of complexity. The CB measure introduced by Chhillar and Bhasin is one metric which relies on a number of complexity factors to decide on the complexity of a program. However, it also has some shortcomings and can be further improved. Thus, this paper attempts to propose some additional complexity factors that the CB measure has not considered, to further improve it. The paper also presents an extensive coverage about the software complexity metrics proposed in the literature.
  • Keywords
    "Complexity theory","Psychology","Size measurement"
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2015 IEEE 10th International Conference on
  • Print_ISBN
    978-1-5090-1741-6
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2015.7399045
  • Filename
    7399045