• DocumentCode
    176151
  • Title

    Empirical Analysis of the Relationship between CC and SLOC in a Large Corpus of Java Methods

  • Author

    Landman, Davy ; Serebrenik, Alexander ; Vinju, Jurgen

  • Author_Institution
    Centrum Wiskunde & Inf., Amsterdam, Netherlands
  • fYear
    2014
  • fDate
    Sept. 29 2014-Oct. 3 2014
  • Firstpage
    221
  • Lastpage
    230
  • Abstract
    Measuring the internal quality of source code is one of the traditional goals of making software development into an engineering discipline. Cyclomatic Complexity (CC) is an often used source code quality metric, next to Source Lines of Code (SLOC). However, the use of the CC metric is challenged by the repeated claim that CC is redundant with respect to SLOC due to strong linear correlation. We test this claim by studying a corpus of 17.8M methods in 13K open-source Java projects. Our results show that direct linear correlation between SLOC and CC is only moderate, as caused by high variance. We observe that aggregating CC and SLOC over larger units of code improves the correlation, which explains reported results of strong linear correlation in literature. We suggest that the primary cause of correlation is the aggregation. Our conclusion is that there is no strong linear correlation between CC and SLOC of Java methods, so we do not conclude that CC is redundant with SLOC. This conclusion contradicts earlier claims from literature, but concurs with the widely accepted practice of measuring of CC next to SLOC.
  • Keywords
    Java; public domain software; software metrics; software quality; source code (software); CC; Java methods; SLOC; cyclomatic complexity; internal source code quality measurement; open-source Java projects; software development; source code quality metric; source lines-of-code; strong linear correlation; Complexity theory; Correlation; Java; Measurement; Software; Transforms; cylcomatic complexity; emperical research; software quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Evolution (ICSME), 2014 IEEE International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1063-6773
  • Type

    conf

  • DOI
    10.1109/ICSME.2014.44
  • Filename
    6976088