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Lessons from applying experimentation in software engineering prediction systems
Responsible organisation
2008 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Beijing: State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences , 2008.
Keywords [en]
experimentation, prediction systems, lessons learned
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-8311Local ID: oai:bth.se:forskinfo5B2A44EAB7FF095DC12575190046EB9EOAI: oai:DiVA.org:bth-8311DiVA, id: diva2:836018
Conference
Asia-Pacific Software Engineering Conference - Workshop Proceedings
Available from: 2012-09-18 Created: 2008-12-08 Last updated: 2020-03-09Bibliographically approved

Open Access in DiVA

Lessons from applying experimentation in software engineering prediction systems(109 kB)509 downloads
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Type fulltextMimetype application/pdf

Software Engineering

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf