Assessing Maintainability Risks in the Open Source Software Supply Chain: An Empirical Quality Approach

  • Fenglin Bi
  • , Sijia Zhao
  • , Wei Wang
  • , Songlin Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The maintainability of open-source supply chain software is crucial for ensuring the security and efficiency of software systems. This research will focus on this area by identifying, quantifying, and validating specific maintainability indicators. Through a structured literature review, empirical surveys, and comparative analyses of projects like webpack and babel, the study develops a comprehensive set of metrics, including team health, project activity, and others. These metrics are quantified and validated, as demonstrated in a case study on AngularJs. The outcomes provide a novel framework for evaluating maintainability in open-source software, offering essential insights for sustainable development and maintenance within the complex environment of software supply chains.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024
EditorsHossain Shahriar, Hiroyuki Ohsaki, Moushumi Sharmin, Dave Towey, AKM Jahangir Alam Majumder, Yoshiaki Hori, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages220-231
Number of pages12
ISBN (Electronic)9798350376968
DOIs
StatePublished - 2024
Event48th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2024 - Osaka, Japan
Duration: 2 Jul 20244 Jul 2024

Publication series

NameProceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024

Conference

Conference48th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2024
Country/TerritoryJapan
CityOsaka
Period2/07/244/07/24

Keywords

  • Empirical Analysis
  • Open-Source Software
  • Quantitative Metrics
  • Software Maintainabil-ity

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