Expected start date2020-05-01
Estimated duration3 months
The Linux operating system is one the most complex software ever developed and is crucial to our daily lives.
The Linux kernel provides more than 15000 options and perhaps more than 10^6000 possible configurations.
Among those configurations, we can wonder whether all of them compile and boot.
We have developed TuxML an OSS tool based on Docker/Python to massively gather data about thousands of kernel configurations (see
We have automatically compiled 200K+ configurations.
Thanks to this amount of data, we can envision to predict properties of unseen Linux configurations, with different use cases (identification of influential/buggy options, finding of small kernels, etc.)
The vision is that a continuous understanding of the configuration space is undoubtedly beneficial for the Linux community, yet several technical challenges remain in terms of infrastructure and automation (see http://blog.mathieuacher.com/ELCETuxML/ and the Youtube presentation below).
The goal of this internship is to develop and use TuxML in order to collect even more information about the kernel (ie more configurations and more properties).
In particular, we aim to verify whether a configuration of the kernel does boot.
We are looking for candidates that are interested by Linux, software automation, tooling systems (bash, gcc, Make, etc.) and that have skills with Python and Docker.