Hey,
This is Payal Priyadarshini, a final year undergraduate student enrolled in its dual degree (B.Tech+M.Tech) programme of CSE department of Indian Institute of Technology Kharagpur. I have gone through the idea list of the project offered, and i am interested in Usage Statistics Analysis Project.
I have experience in Data Mining field, where I worked with the Meetup [online social networking portal that facilitates offline group meetings] data to find out the success of events, group popularities etc.
Regarding this project, I am going through few links suggested by Daniel.
Link1 : http://stats.jenkins-ci.org/
- Jenkins Statistics [http://stats.jenkins-ci.org/jenkins-stats/svg/svgs.html]
Hey,
This is Payal Priyadarshini, a final year undergraduate student enrolled in its dual degree (B.Tech+M.Tech) programme of CSE department of Indian Institute of Technology Kharagpur. I have gone through the idea list of the project offered, and i am interested in Usage Statistics Analysis Project.
I have experience in Data Mining field, where I worked with the Meetup [online social networking portal that facilitates offline group meetings] data to find out the success of events, group popularities etc.
Regarding this project, I am going through few links suggested by Daniel.
Link1 : http://stats.jenkins-ci.org/
- Jenkins Statistics [http://stats.jenkins-ci.org/jenkins-stats/svg/svgs.html]
- The way charts are generated can be improved, like instead of using linear axis, we can use logarithmic axis so that it can cover larger range, plot the size distributions etc. Although I didn't get what does "nodes" represent.
- The new UI can be developed which will be easy to understand, to view the statistics of the usage. For example to show the popularity of the plugins in a given time period, we can only show top 20 plugins, to increase the visibility in piechart or bar graph.
We can maintain duration window(can be adjusted by the user) and then show stats in that time frame rather than showing the monthly data. Similar idea related to processing is already there on wiki page of the project. I will elaborate all these points in detail in my proposal.
- Jenkins plugin dependency graph [link]
- I think dependency graph can be exploited to tell what plugins are more likely used together. Can someone please clarify that what exactly dependency denotes here ? And, where can I find the source code for this.
Census data [link]
- What is the metadata/fields for these json files?
Repo for the current sources [link].
- Which languages other than groovy can be used by candidates for this project?
So, after going through all these links, what should my next step to make contribution to this project ?
Looking forward to suggestions.Thanks a lot.Regards,Payal Priyadarshini
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install-ID | is a list, where each element contains 7 fields. | |||
stat | ||||
jobs | Contains 4 fields. Are these counts of the respective type ? | |||
Hudson-model-ExternalJob | ||||
Hudson-model-FreeStyleProject | ||||
Hudson-maven-MavenModuleSet | ||||
Hudson-matrix-MatrixProject | ||||
timestamp | Job execution starting time. | |||
version | Version of what ? is it installation | |||
install | Installation id | |||
Plugins [list] | Contains 2 fields | |||
version | ||||
Name | ||||
Nodes [list] | List of Nodes. Contains 4 fields | |||
Master | true/false | |||
jvm-version | ||||
jvm-vendor | ||||
executors |
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Hi all,
My proposal for the project "Jenkins Usage Statistics Analysis" has been accepted in GSoC 2016. So first of all I'd like to thank each and everyone of you for the valuable support you gave me.
So far I have got familiar with its source code. Please let me know the procedure I have to follow and things I should accomplish during community bonding period.
Thanks and regards,
Payal Priyadarshini
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