Software errors and complexity: an empirical investigation0

  • Authors:
  • Victor R. Basili;Barry T. Perricone

  • Affiliations:
  • Univ. of Maryland, College Park, MD;Univ. of Maryland, College Park, MD

  • Venue:
  • Communications of the ACM
  • Year:
  • 1984

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Abstract

An analysis of the distributions and relationships derived from the change data collected during development of a medium-scale software project produces some surprising insights into the factors influencing software development. Among these are the tradeoffs between modifying an existing module as opposed to creating a new one, and the relationship between module size and error proneness.