[Haskell-cafe] Suggestions for an empirical master thesis

[Damian Nadales]

Hi Jon,

Allow me to brainstorm with you. I don't know what is done in the context
of code metrics for Haskell programs, but you could try to find
correlations (of their lack thereof) between metrics such as (cyclomatic
complexity, fan-in/fan-out) and bugs. For this you could use the Github
repositories. The number of bugs would have to be normalized using the
numbers of users of a project (maybe measured in number of downloads).

Just an idea...

On Thu, Aug 4, 2016 at 10:15 PM, Jon Kristensen <info at jonkri.org> wrote:

> Hi, everyone!
>
> I'm looking for a master thesis topic that is empirical in nature (like,
> statistics, hypothesis testing, etc.).
>
> The work could involve analyzing either package metadata (Cabal
> information), code (AST), and/or data from some other source, possibly
> comparing similar data from some non-Haskell domain.
>
> As an example, one idea that was suggested to me was to look at usage
> aggregation, or like, how much of a given package another package is
> actually using (which could be relevant in any orphan-instance discussion).
>
> From an academic standpoint, it would be good to pick a metric that can be
> validated in some way.
>
> Thank you!
>
> Best,
> Jon
> _______________________________________________
> Haskell-Cafe mailing list
> To (un)subscribe, modify options or view archives go to:
> http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe
> Only members subscribed via the mailman list are allowed to post.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.haskell.org/pipermail/haskell-cafe/attachments/20160806/bfa7f887/attachment.html>