@techreport{TR-IC-PFG-24-38,
   number = {IC-PFG-24-38},
   author = {Gabriela Bittencourt and Islene Calciolari {Garcia}},
   title  =  {{Enhancing  Linux Kernel Test Result Analysis: Automated
                   Log Clustering in the KernelCI Database}},
   month = {December},
   year = {2024},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 20 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The Linux kernel is one of the largest collaborative efforts of
       software development in the world, powering a large majority of
       the  infrastructure that runs computing workloads of all scales
       --  from  embedded  systems to HPC clusters. As such, improving
       the  testing  ecosystem  for  the  Linux  kernel is critical to
       ensure  the longevity of the project. The KernelCI project is a
       recent  initiative  that  looks  to  provide  a unified testing
       infrastructure for all the kernel subsystems; this work aims to
       improve  the  automatic evaluation and labeling of test results
       for  the kernel in the context of the KernelCI project, through
       the  use  of modern clustering and data aggregation techniques;
       in  particular,  we  propose  a  frequency-based  algorithm for
       filtering  and  labeling  logs  from  kernel  tests as a way to
       facilitate   their  analysis  by  kernel  maintainers,  greatly 
       improving the efficiency of the review process.
  }
}