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Experiments in computing: a survey.

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This study clarifies the role of experiments in computing, identifying five distinct conceptualizations. Understanding these experimental approaches enhances scientific self-awareness and the broader scientific community's grasp of experimental methods.

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Area of Science:

  • Computer Science
  • Philosophy of Science

Background:

  • The role of experiments in computer science has been historically unclear, gaining attention in the 1980s.
  • A push towards experimental computer science led to diverse technical, theoretical, and empirical viewpoints on experiments.

Purpose of the Study:

  • To clarify experiment terminology within the field of computing.
  • To foster a better understanding of computing as a discipline.
  • To promote a general understanding of experiments in modern science.

Main Methods:

  • Analysis of historical debates surrounding experimentation in computing.
  • Identification and categorization of different conceptualizations of experiments in computing.

Main Results:

  • Five distinct ways of conceptualizing experiments in computing were identified: feasibility, trial, field, comparison, and controlled experiments.
  • Current computing fields utilize experiments and related terminology in varied ways.

Conclusions:

  • Clarifying experiment terminology is crucial for the self-understanding of computer science.
  • Understanding computing experiments can offer insights into experimental practices in other scientific fields.