Paper Info
Title
A Quantitative Analysis of Variability Warnings in Linux.
Abstract
In order to get insight into challenges with quality in highly-configurable software, we analyze one of the largest open source projects, the LINUX kernel, and quantify basic properties of configuration-related warnings. We automatically analyze more than 20 thousand valid and distinct random con figurations, in a computation that lasted more than a month. We count and classify a total of 400,000 warnings to get an insight in the distribution of warning types, and the location of the warnings. We run both on a stable and unstable version of the LINUX kernel. The results show that LINUX contains a significant amount of configuration-dependent warnings, including many that appear harmful. In fact, it appears that there are no configuration-independent warnings in the kernel at all, adding to our knowledge about relevance of family-based analyses.
Year
DOI
Venue
2016
10.1145/2866614.2866615
TENTH INTERNATIONAL WORKSHOP ON VARIABILITY MODELLING OF SOFTWARE-INTENSIVE SYSTEMS (VAMOS 2016)
Keywords
Field
DocType
Variability Warnings,Linux,Quantitative Analysis,Highly-Configurable Systems,Preprocessors
Kernel (linear algebra),Data mining,Computer science,Software,Operating system,Linux kernel,Computation
Conference
Citations 
PageRank 
References 
5
0.40
15
Authors
4
Name
Order
Citations
PageRank
Jean Melo1413.79
Elvis Flesborg250.40
Claus Brabrand333026.73
Andrzej Wasowski4128260.47