Non-programmers identifying functionality in unfamiliar code: strategies and barriers

  • Authors:
  • Paul Gross;Caitlin Kelleher

  • Affiliations:
  • Department of Computer Science and Engineering-Washington University in St. Louis, USA;Department of Computer Science and Engineering-Washington University in St. Louis, USA

  • Venue:
  • Journal of Visual Languages and Computing
  • Year:
  • 2010

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Abstract

Source code on the web is a widely available and potentially rich learning resource for non-programmers. However, unfamiliar code can be daunting to end-users without programming experience. This paper describes the results of an exploratory study in which we asked non-programmers to find and modify the code responsible for specific functionality within unfamiliar programs. We present two interacting models of how non-programmers approach this problem: the Task Process Model and the Landmark-Mapping model. Using these models, we describe code search strategies non-programmers employed and the barriers they encountered. Finally, we propose guidelines for future programming environments that support non-programmers in finding functionality in unfamiliar programs.