Software complexity—an alternative view

  • Authors:
  • Peter Kokol;Janez Brest;Viljem Žumer

  • Affiliations:
  • University of Maribor, FERI, Smetanova 17, 62000 Maribor, Slovenia;University of Maribor, FERI, Smetanova 17, 62000 Maribor, Slovenia;University of Maribor, FERI, Smetanova 17, 62000 Maribor, Slovenia

  • Venue:
  • ACM SIGPLAN Notices
  • Year:
  • 1996

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Abstract

A different view on software complexity based on long range correlations is presented in this paper. Four different methods are proposed first and then used in the analysis of twenty FORTRAN programs. All methods being used indicate the presence of long range correlations, but every method gives different results. The presence of long range correlations denotes that we can infact regard the complexity of computer programs from a different perspective.