Lessons from applying experimentation in software engineering prediction systems

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Wasif Afzal
Title: Lessons from applying experimentation in software engineering prediction systems
Conference name: Asia-Pacific Software Engineering Conference - Workshop Proceedings
Year: 2008
Pagination: 35-43
Publisher: State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences
City: Beijing
URI/DOI: ISCAS-SKLCS-08-08
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Systems and Software Engineering (Sektionen för teknik – avd. för programvarusystem)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: wasif.afzal@bth.se
Language: English
Abstract: Within software engineering prediction systems, experiments are undertaken primarliy 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 software engineering 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.
Subject: Software Engineering\General
Keywords: experimentation, prediction systems, lessons learned
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