• DocumentCode
    125290
  • Title

    An Investigation of Object-Oriented and Code-Size Metrics as Dead Code Predictors

  • Author

    Scanniello, Giuseppe

  • Author_Institution
    Dipt. di Mat. Inf. ed Econ., Univ. della Basilicata, Potenza, Italy
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    392
  • Lastpage
    397
  • Abstract
    In case of biological organisms, death is unambiguous. It is not the same in software engineering, where death assumes a different meaning. For example, this term can be used to indicate source code that can be removed being it unnecessary for a given software system. In this paper, the early achievements of an empirical investigation on software metrics as predictors for dead code methods in object-oriented (OO) source code have been presented. OO design metrics and traditional code-size metrics have been considered. Data on one open source software system implemented in Java have been collected. The results suggest that five of these metrics can be used as indicators for dead code methods in OO software systems.
  • Keywords
    Java; object-oriented methods; software metrics; Java; OO design metrics; OO software systems; OO source code; biological organisms; code-size metrics; dead code predictors; object-oriented metrics; software metrics; Analytical models; Measurement; Open source software; Predictive models; Software engineering; Software systems; Code-size metrics; Dead code; O-O design metrics; empirical study; software maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Advanced Applications (SEAA), 2014 40th EUROMICRO Conference on
  • Conference_Location
    Verona
  • Type

    conf

  • DOI
    10.1109/SEAA.2014.67
  • Filename
    6928842