SoK: Software Debloating Landscape and Future Directions

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

2 Citations (Scopus)

Abstract

Software debloating seeks to mitigate security risks and improve performance by eliminating unnecessary code. In recent years, a plethora of debloating tools have been developed, creating a dense and varied landscape. Several studies have delved into the literature, focusing on comparative analysis of these tools. To build upon these efforts, this paper presents a comprehensive systematization of knowledge (SoK) of the software debloating landscape. We conceptualize the software debloating workflow, which serves as the basis for developing a multilevel taxonomy. This framework classifies debloating tools according to their input/output artifacts, debloating strategies, and evaluation criteria. Lastly, we apply the taxonomy to pinpoint open problems in the field, which, together with the SoK, provide a foundational reference for researchers aiming to improve software security and efficiency through debloating.

Original languageEnglish
Title of host publicationFEAST 2024 - Proceedings of the 2024 Workshop on Forming an Ecosystem Around Software Transformation, Co-Located with
Subtitle of host publicationCCS 2024
PublisherAssociation for Computing Machinery, Inc
Pages11-18
Number of pages8
ISBN (Electronic)9798400712333
DOIs
Publication statusPublished - 19 Nov 2024
Event6th Workshop on Forming an Ecosystem Around Software Transformation, FEAST 2024 - Salt Lake City, United States
Duration: 14 Oct 202418 Oct 2024

Publication series

NameFEAST 2024 - Proceedings of the 2024 Workshop on Forming an Ecosystem Around Software Transformation, Co-Located with: CCS 2024

Conference

Conference6th Workshop on Forming an Ecosystem Around Software Transformation, FEAST 2024
Country/TerritoryUnited States
CitySalt Lake City
Period14/10/2418/10/24

Keywords

  • Sbom
  • Sdlc
  • Software Debloating
  • Software Security
  • Systematization of Knowledge
  • Taxonomy

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