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    SubjectRe: [PATCH 4.9 086/104] arm64: kasan: avoid bad virt_to_pfn()
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    (Cc'ed Julia)

    On Mon, Oct 09, 2017 at 09:33:01AM -0700, Laura Abbott wrote:
    >On 10/06/2017 08:10 PM, Levin, Alexander (Sasha Levin) wrote:
    >> We are experimenting with using neural network to aid with patch
    >> selection for stable kernel trees. There are quite a few commits that
    >> were not marked for stable, but are stable material, and we're trying
    >> to get them into their appropriate kernel trees.
    >>
    >
    >Apart from the practical which has been covered, I'd be interested
    >in hearing about the details of how this works if you can share
    >them.

    This work is based on Julia's work
    (https://soarsmu.github.io/papers/icse12-patch.pdf) to identify
    commits that fix bugs.

    Essentially, my approach to this is to extract as much information as
    possbile form the commit, including things such as:

    - How many times a certain word appeared in the message
    - Who is the author
    - Code metrics
    - etc

    In my case, I end up with about 30,000 of these "inputs", and train a
    neural network based on whether a given commit was included in a
    stable tree or not.

    This approach has a few drawbacks compared to the one Julia
    described in her paper:

    - Not every bug fixing commit ends up in stable (some end up in -rc
    fixing a bug from the current merge window).
    - Same as above, but for commits we miss and fail to add to stable.
    - Sometimes commits get added to stable even though they don't follow
    the rules at all (security fixes are a simple example).

    But it does seem to be effective at finding bug fixing commits that
    should be in stable.

    At this stage we are still trying to figure out what a "bug fixing"
    commit really is. For example, an observation we recently made was
    that the code metrics actually don't have much weight in determining
    whether a commit should be in stable or not.

    As we just started, I'm still experimenting with a few approaches, and
    I belive Julia is waiting for a new student to take over this, so we
    don't have any big insights to share just yet :)

    --

    Thanks,
    Sasha
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