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Lessons from applying experimentation in software engineering predictive modeling

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

Proceedings of The 2nd International workshop on Software Productivity Analysis and Cost Estimation (SPACE'08), Collocated with 15th Asia-Pacific Software Engineering Conference


Abstract

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.

Bibtex

@inproceedings{Afzal3070,
author = {Wasif Afzal and Richard Torkar},
title = {Lessons from applying experimentation in software engineering predictive modeling},
month = {December},
year = {2008},
booktitle = {Proceedings of The 2nd International workshop on Software Productivity Analysis and Cost Estimation (SPACE'08), Collocated with 15th Asia-Pacific Software Engineering Conference},
url = {http://www.es.mdu.se/publications/3070-}
}