Experimental context classification: incentives and experience of subjects

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


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


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Science


  • software engineering research, controlled experiment participant description, experimental context classification
Original languageEnglish
Title of host publication27th International Conference on Software Engineering
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)1-59593-963-2
Publication statusPublished - 2005
Publication categoryResearch
Event27th International Conference on Software Engineering - St. Louis, MO, United States
Duration: 2005 May 152005 May 21


Conference27th International Conference on Software Engineering
CountryUnited States
CitySt. Louis, MO