Documents

DOI

The study of the evolution of highly configurable systems requires a thorough understanding of thee core ingredients of such systems: (1) the underlying variability model; (2) the assets that together implement the configurable features; and (3) the mapping from variable features to actual assets. Unfortunately, to date no systematic way to obtain such information at a sufficiently fine grained level exists. To remedy this problem we propose FEVER and its instantiation for the Linux kernel. FEVER extracts detailed information on changes in variability models (KConfig files), assets (preprocessor based C code), and mappings (Makefiles). We describe how FEVER works, and apply it to several releases of the Linux kernel. Our evaluation on 300 randomly selected commits, from two different releases, shows our results are accurate in 82.6% of the commits. Furthermore, we illustrate how the populated FEVER graph database thus obtained can be used in typical Linux engineering tasks.

Original languageEnglish
Title of host publicationProceedings - 13th Working Conference on Mining Software Repositories, MSR 2016
PublisherAssociation for computing machinery, Inc. (ACM)
Pages85-96
Number of pages12
ISBN (Electronic)9781450341868
DOIs
StatePublished - 14 May 2016
Event13th Working Conference on Mining Software Repositories, MSR 2016 - Austin, United States

Conference

Conference13th Working Conference on Mining Software Repositories, MSR 2016
CountryUnited States
CityAustin
Period14/05/1615/05/16

Research areas

  • Co-evolution, Feature, Highly variable systems, Variability

ID: 8203724