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Importance and Aptitude of Source code Density for Commit Classification into Maintenance Activities
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)ORCID iD: 0000-0002-7565-3714
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)ORCID iD: 0000-0002-0835-823X
2019 (English)In: QRS 2019 Proceedings / [ed] Dr. David Shepherd, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Commit classification, the automatic classification of the purpose of changes to software, can support the understanding and quality improvement of software and its development process. We introduce code density of a commit, a measure of the net size of a commit, as a novel feature and study how well it is suited to determine the purpose of a change. We also compare the accuracy of code-density-based classifications with existing size-based classifications. By applying standard classification models, we demonstrate the significance of code density for the accuracy of commit classification. We achieve up to 89% accuracy and a Kappa of 0.82 for the cross-project commit classification where the model is trained on one project and applied to other projects. Such highly accurate classification of the purpose of software changes helps to improve the confidence in software (process) quality analyses exploiting this classification information.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Software Quality, Commit Classification, Source Code Density, Maintenance Activities
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-85473OAI: oai:DiVA.org:lnu-85473DiVA, id: diva2:1325953
Conference
The 19th IEEE International Conference on Software Quality, Reliability, and Security, July 22-26, 2019, Sofia, Bulgaria
Available from: 2019-06-17 Created: 2019-06-17 Last updated: 2019-09-26

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Hönel, SebastianEricsson, MorganLöwe, WelfWingkvist, Anna

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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