Predicting programming group productivity a communications model

  • Authors:
  • Dick B. Simmons

  • Affiliations:
  • Data Processing Center, Texas A&M University, College Station, Tex. 77843

  • Venue:
  • IEEE Transactions on Software Engineering
  • Year:
  • 1975

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Abstract

Methods of studing programmer productivity are difficult to find. The classical methods of observation and statistical analysis are in many cases inappropriate. This paper describes a simulation approach in which programmers are' considered to be individual processors. Relative group productivity is then measured based upon the productivity levels and communications relationships of the processors.