Using source code density to improve the accuracy of automatic commit classification into maintenance activities

Volume: 168, Pages: 110673
Published: Oct 1, 2020
Abstract
null null Source code is changed for a reason, e.g., to adapt, correct, or adapt it. This reason can provide valuable insight into the development process but is rarely explicitly documented when the change is committed to a source code repository. Automatic commit classification uses features extracted from commits to estimate this reason. null We introduce source code density, a measure of the net size of a commit, and show how it improves the...
Paper Fields
Paper Details
Title
Using source code density to improve the accuracy of automatic commit classification into maintenance activities
Published Date
Oct 1, 2020
Volume
168
Pages
110673
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.