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

On Tue, 10 Oct 2017, Levin, Alexander (Sasha Levin) wrote:

> (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
> ( 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 :)

That's a good summary of the current status. Thanks!


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