Abstract
There is a need to identify factors that affect the result of empirical studies in software engineering research. It is still the case that seemingly identical replications of controlled experiments result in different conclusions due to the fact that all factors describing the experiment context are not clearly defined and hence controlled. In this article, a scheme for describing the participants of controlled experiments is proposed and evaluated. It consists of two main factors, the incentives for participants in the experiment and the experience of the participants. The scheme has been evaluated by classifying a set of previously conducted experiments from literature. It can be concluded that the scheme was easy to use and understand. It is also found that experiments that are classified in the same way to a large extent point at the same results, which indicates that the scheme addresses relevant factors
Original language | English |
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Title of host publication | 27th International Conference on Software Engineering |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 470-478 |
ISBN (Print) | 1-59593-963-2 |
DOIs | |
Publication status | Published - 2005 |
Event | 27th International Conference on Software Engineering - St. Louis, MO, United States Duration: 2005 May 15 → 2005 May 21 |
Conference
Conference | 27th International Conference on Software Engineering |
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Country/Territory | United States |
City | St. Louis, MO |
Period | 2005/05/15 → 2005/05/21 |
Subject classification (UKÄ)
- Computer Science
Free keywords
- software engineering research
- controlled experiment participant description
- experimental context classification