The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Experimental context classification: incentives and experience of subjects

På svenska

Author

Summary, in English

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

Publishing year

2005

Language

English

Pages

470-478

Publication/Series

27th International Conference on Software Engineering

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Computer Science

Keywords

  • software engineering research
  • controlled experiment participant description
  • experimental context classification

Conference name

27th International Conference on Software Engineering

Conference date

2005-05-15 - 2005-05-21

Conference place

St. Louis, MO, United States

Status

Published

ISBN/ISSN/Other

  • ISBN: 1-59593-963-2