An exploration of the impact of individual and group factors on programmer productivity

  • Authors:

  • Donald R. Chand;Raghava G. Gowda

  • Affiliations:

  • University of Dayton;Bentley College

  • Venue:
  • CSC '93 Proceedings of the 1993 ACM conference on Computer science
  • Year:
  • 1993

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Abstract

This paper reports on an empirical study that explores the impact of individual and group factors on programmer productivity. Programmer productivity is modeled as a function of Individual Characteristics, Group Cohesiveness and Leader Behavior. Individual Characteristics are measured in terms of years of college education, training, and months of experience in a language at the site. Group Cohesiveness is measured in terms of person to group attraction, person to person attraction, and person to leader attraction. Leader Behavior is measured in terms of production emphasis which is the application of pressure for productive output. Programmer productivity is measured in terms of lines of code (LOC), executable lines of code (ELOC), and Halstead's effort. This study found that person to group attraction, person to person attraction, person to leader attraction, years of college education, training, and programmer's experience at the organization do not correlate to productivity measures in a statistically significant way. The implications of these finding are explored.