• DocumentCode
    600255
  • Title

    On the definition of dynamic software measures

  • Author

    Lavazza, Luigi ; Morasca, Sandro ; Taibi, Davide ; Tosi, Daniele

  • Author_Institution
    Dipt. di Sci. Teoriche e Applicate, Univ. degli Studi dell´´lnsubria, Varese, Italy
  • fYear
    2012
  • fDate
    20-21 Sept. 2012
  • Firstpage
    39
  • Lastpage
    48
  • Abstract
    The quantification of several software attributes (e.g., size, complexity, cohesion, coupling) is usually carried out in a static fashion, and several hundreds of measures have been defined to this end. However, static measurement may only be an approximation for the measurement of these attributes during software use. The paper proposes a theoretical framework based on Axiomatic Approaches for the definition of sensible dynamic software measures that can dynamically capture these attributes. Dynamic measures based on this framework are defined for dynamically quantifying size and coupling. In this paper, we also compare dynamic measures of size and coupling against well-known static measures by correlating them with fault-pronenesses of four case studies.
  • Keywords
    software metrics; axiomatic approach; dynamic software measures; fault-pronenesses; software attributes; static measurement; Algebra; Couplings; Indexing; Size measurement; Software measurement; Software systems; Dynamic measures; code coverage; dynamic coupling; dynamic size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
  • Conference_Location
    Lund
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4503-1056-7
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1145/2372251.2372259
  • Filename
    6475395