[Jenkins-infra] [GSoC2016] Jenkins Usage Statistics Analysis

Payal Priyadarshini payal.pri94 at gmail.com
Wed May 18 17:00:57 UTC 2016

Hello Jenkins Infra team,

This is Payal Priyadarshini, final year undergraduate student of the Indian
Institute of Technology Kharagpur, India.

My proposal for GSoC 2016 is *Jenkins Usage Statistics Analysis *which
involves various analysis and studies over the usage information of the
Jenkins installations to discover trends for example plugin utilisation,
spotting downgrades. Details can be found here in the proposal[doc

Daniel Beck and Kohsuke Kawaguchi will be mentoring this project, and I
would like to thank them for their constant help and feedbacks.

This proposal mainly includes solving problems mentioned below:

   - How quickly users are upgrading Jenkins and its plugins, will give us
   insights of popularity and unpopularity of the releases.

   - Spotting downgrades, which will warn us that something is wrong with
   the version.

   - Correlating what users are saying(community rating) with what users
   are doing(upgrades/downgrades).

   - Finding the set of plugins which are more likely to be used together
   and this study will set up the ground work for the development of plugin
   recommendation system.

   - Distribution of cluster size, where clusters represents job counts,
   nodes count which approximates the size of installation.

I have already started to learn about the Jenkins and infra-statistics
codebase[link <https://github.com/jenkinsci/infra-statistics>]. I
downloaded the small dataset earlier using which I tried running the

Looking forward to more feedbacks.


Payal Priyadarshini
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