Lessons from applying experimentation in software engineering prediction systems

Within software engineering prediction systems, experiments are undertaken primarily to investigate relationships and to measure/compare models’ accuracy. This paper discusses our experience and presents useful lessons/guidelines in experimenting with software engineering prediction systems. For this purpose, we use a typical software engineering experimentation process as a baseline. We found that the typical experimentation process in software engineering is supportive in developing prediction systems and have highlighted issues more central to the domain of software engineering prediction systems.