Hi Sharan,
For lack of time I had a look at the summary of the wiki page, quite
interesting conclusions!
Thanks
Jacques
Le 10/01/2019 à 17:27, Sharan Foga a écrit :
Hi All
I’ve done the edits and have loaded my paper onto the Kibble wiki here.
https://s.apache.org/VTAy
I’ve also created a wiki page without all the nice Kibble graphs :-) that
summarises the main points from the paper here. https://s.apache.org/ESEh
Please feel to take a look and give any feedback. Also please feel free to
comments on the wiki page itself or start a discussion on this mailing list.
Thanks
Sharan
On 2018/12/30 11:24:58, Sharan Foga <sha...@apache.org> wrote:
Hi Georg
Thanks for the interest. I have some minor edits to do so will do those and get
it posted later this week. It's 31 pages long so might see if I can do a
summary version too.
Thanks
Sharan
On 2018/12/22 18:13:42, Georg Link <gl...@unomaha.edu> wrote:
Hi Sharan,
Interesting setup. I would like to read the paper :)
Happy Holidays,
Georg
On Sat, Dec 22, 2018 at 3:59 AM Sharan Foga <sha...@apache.org> wrote:
Hi All
I’m sorry I haven’t been that active on this recently, this has been
caused by a few things happening that meant that I needed to focus my time
and effort elsewhere.
One of the things that my time has been focussed on is on assignment for
my MBA where I have used Kibble as my research tool.
To give you some background.
My paper was focussed on the transmission of culture and values in open
source and I wanted to create a baseline to be able to measure cultural
indicators. So how can Kibble help? (I hear you ask :-), so let me explain
a little.
Kibble includes the following:
- Pony Factor – which is an indicator of the diversity of key project
contributors. So thinking of the Apache culture and its values, we would be
looking to see the Pony Factor grow over time as a project community grows
and accepts new conributors. There is also a meta Pony Factor which tries
to measure the diversity of the companies contributing.
- Sentient / Mood Analysis – which indicates the mood of the mailing list
communications.
- Key Phrase Extraction (KPE) – which pulls out important words or phrases
that summarise the main topics or ideas that are being discussed on the
mailing list.
- Contributor Retention – this is divided into two parts; one is the
length of time contributors have been in a community and two; a breakdown
of active, retained, people who have left a community and also those that
have returned after a breakdown
* Methodology *
What I’ve done is this:
Apache culture was created as a result of the Apache Webserver project. So
I used this Kibble data for this project to create a cultural baseline
based on the above indicators.
I then took two sets of Apache projects (one group that have been ASF Top
Level projects for over 5 years and one group that have been Apache Top
Level projects for less than 5 years) and measured their indicators in
Kibble.
I then compared them both to the Apache webserver cultural baseline.
My results were interesting and the most significant thing I can mention
is that the +1 indicator, which is something culturally unique to Apache as
a consensus indicator came out as part of the KPE analysis is all 3
groups.(So some cultural transmission is happening!)
It also seemed to indicate that the older projects were better at some of
the Apache cultural aspects e.g the recognition of merit, where the younger
projects were amazingly successful at community growth.
I’ll load my paper maybe onto the wiki for people to look at (and probably
critique :-) before I share it more widely within Apache.
Thanks
Sharan
--
Georg J.P. Link
PhD Candidate
College of Information Science and Technology | PKI 367
University of Nebraska at Omaha | www.unomaha.edu
he/him
