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Experiments in computing: a survey.
Matti Tedre1, Nella Moisseinen2
1Department of Computer and Systems Sciences, Stockholm University, 16440 Kista, Sweden.
Thescientificworldjournal
|April 2, 2014
Summary
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.
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.
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