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Dead or Alive: Finding Zombie Features in the Linux Kernel

  • Reinhard Tartler*
  • , Julio Sincero
  • , Wolfgang Schröder-Preikschat
  • , Daniel Lohmann
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Abstract

Variability management in operating systems is an error-prone and tedious task. This is especially true for the Linux operating system, which provides a specialized tool called Kconfig for users to customize kernels from an impressive amount of selectable features. However, the lack of a dedicated tool for kernel developers leads to inconsistencies between the implementation and the variant model described by Kconfig. This results in real bugs like features that cannot be either enabled or disabled at all; the so called zombie features. For both in the implementation and the variant model, these inconsistencies can be categorized in referential and semantic problems. We therefore propose a tool approach to check the variability described by conditional compilation in the implementation with the variant model for both kinds of consistency. Our analysis of the variation points show that our approach is feasible for the amount of variability found in the Linux kernel.

Original languageEnglish
Title of host publicationFOSD '09: Proceedings of the First International Workshop on Feature-Oriented Software Development
Pages81-86
Number of pages6
DOIs
Publication statusPublished - Oct 2009
Externally publishedYes
Event1st International Workshop on Feature-Oriented Software Development, FOSD in conjunction with MODELS/GPCE/SLE 2009 - Denver, CO, United States
Duration: 6 Oct 20096 Oct 2009

Conference

Conference1st International Workshop on Feature-Oriented Software Development, FOSD in conjunction with MODELS/GPCE/SLE 2009
Country/TerritoryUnited States
CityDenver, CO
Period6 Oct 20096 Oct 2009

Keywords

  • Features
  • Linux
  • Preprocessor
  • Software product lines

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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