• DocumentCode
    1965137
  • Title

    A cognitive complexity metric based on category learning

  • Author

    Klemola, Tuomas ; Rilling, Juergen

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
  • fYear
    2003
  • fDate
    18-20 Aug. 2003
  • Firstpage
    106
  • Lastpage
    112
  • Abstract
    Software development is driven by software comprehension. Controlling a software development process is dependent on controlling software comprehension. Measures of factors that influence software comprehension are required in order to achieve control. The use of high-level languages results in many different kinds of lines of code that require different levels of comprehension effort. As the reader learns the set of arrangements of operators, attributes and labels particular to an application, comprehension is eased as familiar arrangements are repeated. Elements of cognition that describe the mechanics of comprehension serve as a guide to assessing comprehension demands in the understanding of programs written in high level languages. A new metric, kinds of lines of code identifier density is introduced and a case study demonstrates its application and importance. Related work is discussed.
  • Keywords
    cognition; software development management; software metrics; software process improvement; software quality; case study; category learning; cognition; cognitive complexity metric; comprehension assessment; comprehension mechanics; development process; high-level languages; kinds of lines of code identifier density; operator arrangements; related work; software comprehension; software development; Cognitive informatics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on
  • Print_ISBN
    0-7695-1986-5
  • Type

    conf

  • DOI
    10.1109/COGINF.2003.1225966
  • Filename
    1225966