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A scientific analysis of openSUSE collaboration 
patterns in OBS and Bugzilla 
The story of merge requests and bug reports 
Athanasios-Ilias Rousinopoulos 
<zoumpis@opensuse.org> 
Alpen-Adria University 
September 9, 2014
Introduction
Goals 
 Mine openSUSE Factory data 
 Analyze the data 
 Correlate bugs with accepted requests 
 Publish the source code 
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Data 
 Period of study: 3 years 
 Requests submitted to openSUSE Factory repository (via OBS) 
 Bugs for openSUSE Factory distribution in Bugzilla 
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Bugzilla
Mining process 
 Bicho 
 8 products 
 6 projects [KDE,GNOME,Apache,BaseSystem,Kernel,Xfce] 
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Problem 
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OBS Factory
Mining process 
 Download the OBS data in XML format 
 Develop an XML parser in Python 
 Parsed data are stored in MySQL database 
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Metrices 
 Requests 
 Submitters (or Requesters) 
 Reviews 
 Reviewers 
 Packages 
 Accepters 
 Time deltas 
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Data Summary 
Project Name Requests Reviews Reviewers Packages 
GNOME:Factory 8355 10371 14 571 
KDE:Distro:Factory 6508 14144 16 340 
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GNOME:Factory
Requests per state 
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Submitters 
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Reviewers 
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Reviewed requests (accepted) 
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Accepters 
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Acceptance Time 
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KDE:Distro:Factory
Requests per state 
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Submitters 
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Reviewers 
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Reviewed requests (accepted) 
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Accepters 
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Acceptance Time 
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Source code
Get the source 
 Alpha version 
 OBSParser 
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Conclusion 
 Higher number bugs will lead us to better observations 
 The majority of requests are accepted in less than 10 days 
 People who submitt a request may also review or accept it 
 High percentage of non reviewed but accepted requests 
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Questions?
Thank you for your attention. 
30 of 30

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A scientific analysis of openSUSE collaboration patterns in OBS and Bugzilla - The story of merge requests and bug reports