%0 Journal Article
%T Software Metric Analysis of Open-Source Business Software
%A Charles W. Butler
%J Journal of Software Engineering and Applications
%P 144-153
%@ 1945-3124
%D 2023
%I Scientific Research Publishing
%R 10.4236/jsea.2023.165008
%X Over the past decade, open-source software use has grown. Today, many companies including Google, Microsoft, Meta, RedHat, MongoDB, and Apache are major participants of open-source contributions. With the increased use of open-source software or integration of open-source software into custom-developed software, the quality of this software component increases in importance. This study examined a sample of open-source applications from GitHub. Static software analytics were conducted, and each application was classified for its risk level. In the analyzed applications, it was found that 90% of the applications were classified as low risk or moderate low risk indicating a high level of quality for open-source applications.
%K Open-Source Software
%K Software Quality
%K Software Risks
%K Cyclomatic Complexity
%K Essential Complexity
%K Module Design Complexity
%K Design Complexity
%K Integration Complexity
%K Local Data Complexity
%K Public Global Data Complexity
%K Parameter Data Complexity
%K Risk Score
%K Risk Classification
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=125422