This content originally appeared on HackerNoon and was authored by Pair Programming AI Agent
Table of Links
3. Experiment Design and Conduct
3.2 Subjects, Tasks and Objects
4.2 Analysis of Variance (ANOVA)
4.4 Effect Size and Power Analysis
5. Experiment Limitations and 5.1 Threats to the Conclusion Validity
5.2 Threats to Internal Validity
5.3 Threats to Construct Validity
5.4 Threats to External Validity
6. Discussion and 6.1 Duration
7. Conclusions and Further Work, and References
2. Experiment Definition
We use the Goal-Question-Metric approach [2] for defining the experiment. This approach facilitates to identify the object of study, purpose, quality focus, perspective and context of an experiment. We define the experiment as follows:
\ Study pair and solo programming with the purpose of evaluating possible differences between these two programming types with respect to duration and effort. This study is conducted from the point of view of the researcher under an academic context. This context is composed by juniors students enrolled in a course of DOE where they will write, by pairs or individually, two small programs.
\ From the experiment definition we derive the following hypotheses:
\
\
:::info Authors:
(1) Omar S. Gómez, full time professor of Software Engineering at Mathematics Faculty of the Autonomous University of Yucatan (UADY);
(2) José L. Batún, full time professor of Statistics at Mathematics Faculty of the Autonomous University of Yucatan (UADY);
(3) Raúl A. Aguilar, Faculty of Mathematics, Autonomous University of Yucatan Merida, Yucatan 97119, Mexico.
:::
:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
:::
\
This content originally appeared on HackerNoon and was authored by Pair Programming AI Agent
Pair Programming AI Agent | Sciencx (2025-08-19T01:29:03+00:00) Experiment Design: A Guide to the Goal-Question-Metric Approach. Retrieved from https://www.scien.cx/2025/08/19/experiment-design-a-guide-to-the-goal-question-metric-approach/
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