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Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-1
Learning
Layers
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Navigation Support in Evolving
Communities by a Web-based
Dashboard
Anna Hannemann, Kristjan Liiva, Ralf Klamma
RWTH Aachen University
Advanced Community Information Systems (ACIS)
hannemann@dbis.rwth-aachen.de
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-2
Learning
Layers Agenda
 Motivation
 Related Systems
 Study Settings
 Feedback from OSS Communities
 Navigation Dashboard
 Dashboard Evaluation within OSS Communities
 Conclusions and Outlook
Navigation Support in Evolving OSS
Communities
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-3
Learning
Layers
Research Question
Are the OSS communities interested in a platform
which reflects community evolution and if so, what
evolution aspects should it reflect?
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-4
Learning
Layers
Motivation
 Success of OSS project tightly interwoven with
success of OSS community (Raymond, 1999) ,(Ye et al., 2004), (Von Hippel and
von Krogh, 2003)
 Awareness of other developers essential for intact
OSS project life (Gutwin et al., 2004)
– Shared perception model
– Feeling of belonging/Shared faith
 Collaboration reflection
 Conflicts and problems discovery
4
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-5
Learning
Layers
Related Systems
 Recent OSS research
– Social network analysis (Bird et al., 2006)
– Text mining (Bohn et al., 2011)
– Sentiment analysis (Jensen et al., 2011)
 Code-related statistics
– GitHub, Ohloh, SourceForge, FLOSSMetrics (Herraiz et al.,
2009)
 Contributor-related statistics
– GitHub, Ohloh, Open Source Report Card, Sargas (de Sousa
et al., 2009)
5
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-6
Learning
Layers
Research Question
Are the OSS communities interested in a platform
which reflects community evolution and if so, what
evolution aspects should it reflect?
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-7
Learning
Layers
Study Settings
 OSS developers survey
 Internal evaluation with computer scientists
 Prototype evaluation within OSS communities
7
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-8
Learning
Layers
OSS Developers Survey
 IRC: OpenStack, PostgreSQL, GIMP, Mozilla, GNOME,
TomCat, VM VirtualBox
 32 responses and 49 comments
 75% interested in statistics on whole community not
restricted to developers
 71.9% interested in a network view on community
 64.5% interested in text-mining
 31.3% sentiment analysis
 Aggregated statistics
 Integration in existing tools
8
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-9
Learning
Layers
OSS Navigation Dashboard
9
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-10
Learning
Layers
OSS Dashboard Design and
Development
 Web-based dashboard
 Data from mailing lists and code repositories of three
bioinformatics OSS (Hannemann and Klamma, 2013)
– Graph widget + search and zooming function
– Community mood vs. development progress
– Outflow vs. inflow
– Communication vs. development progress
 Evaluation with 12 computer scientists
- General suggestions
- Bug reports 10
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-11
Learning
Layers
Feedback from OSS Communities
 Exhaustive email reviews from nine OSS members
 Blog post about OSS Dashboard by Biopython
Developer http://bytesizebio.net/2013/09/07/bio-projects-a-history-
in-graphs/
 Most praise and interest to social network graph
 Interest in central nodes
 Interest in mood estimation
 Potential for recruiting and funding
 Learn how project evolves
 Compare with competitors
11
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-AH-052014-12
Learning
Layers
Conclusions and Outlook
 Conclusions
– High interest in reflection of community evolution
– Special interest in network graph visualization
– Aggregated statistics preferred
 Outlook
– Topic-based text mining
– More social network analysis functionalities
– Dashboard concept to support and manage an OSS
community around EU projects
12

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Navigation Support in Evolving Communities by a Web-based Dashboard

  • 1. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-1 Learning Layers This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Navigation Support in Evolving Communities by a Web-based Dashboard Anna Hannemann, Kristjan Liiva, Ralf Klamma RWTH Aachen University Advanced Community Information Systems (ACIS) hannemann@dbis.rwth-aachen.de
  • 2. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-2 Learning Layers Agenda  Motivation  Related Systems  Study Settings  Feedback from OSS Communities  Navigation Dashboard  Dashboard Evaluation within OSS Communities  Conclusions and Outlook Navigation Support in Evolving OSS Communities
  • 3. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-3 Learning Layers Research Question Are the OSS communities interested in a platform which reflects community evolution and if so, what evolution aspects should it reflect?
  • 4. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-4 Learning Layers Motivation  Success of OSS project tightly interwoven with success of OSS community (Raymond, 1999) ,(Ye et al., 2004), (Von Hippel and von Krogh, 2003)  Awareness of other developers essential for intact OSS project life (Gutwin et al., 2004) – Shared perception model – Feeling of belonging/Shared faith  Collaboration reflection  Conflicts and problems discovery 4
  • 5. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-5 Learning Layers Related Systems  Recent OSS research – Social network analysis (Bird et al., 2006) – Text mining (Bohn et al., 2011) – Sentiment analysis (Jensen et al., 2011)  Code-related statistics – GitHub, Ohloh, SourceForge, FLOSSMetrics (Herraiz et al., 2009)  Contributor-related statistics – GitHub, Ohloh, Open Source Report Card, Sargas (de Sousa et al., 2009) 5
  • 6. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-6 Learning Layers Research Question Are the OSS communities interested in a platform which reflects community evolution and if so, what evolution aspects should it reflect?
  • 7. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-7 Learning Layers Study Settings  OSS developers survey  Internal evaluation with computer scientists  Prototype evaluation within OSS communities 7
  • 8. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-8 Learning Layers OSS Developers Survey  IRC: OpenStack, PostgreSQL, GIMP, Mozilla, GNOME, TomCat, VM VirtualBox  32 responses and 49 comments  75% interested in statistics on whole community not restricted to developers  71.9% interested in a network view on community  64.5% interested in text-mining  31.3% sentiment analysis  Aggregated statistics  Integration in existing tools 8
  • 9. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-9 Learning Layers OSS Navigation Dashboard 9
  • 10. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-10 Learning Layers OSS Dashboard Design and Development  Web-based dashboard  Data from mailing lists and code repositories of three bioinformatics OSS (Hannemann and Klamma, 2013) – Graph widget + search and zooming function – Community mood vs. development progress – Outflow vs. inflow – Communication vs. development progress  Evaluation with 12 computer scientists - General suggestions - Bug reports 10
  • 11. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-11 Learning Layers Feedback from OSS Communities  Exhaustive email reviews from nine OSS members  Blog post about OSS Dashboard by Biopython Developer http://bytesizebio.net/2013/09/07/bio-projects-a-history- in-graphs/  Most praise and interest to social network graph  Interest in central nodes  Interest in mood estimation  Potential for recruiting and funding  Learn how project evolves  Compare with competitors 11
  • 12. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-AH-052014-12 Learning Layers Conclusions and Outlook  Conclusions – High interest in reflection of community evolution – Special interest in network graph visualization – Aggregated statistics preferred  Outlook – Topic-based text mining – More social network analysis functionalities – Dashboard concept to support and manage an OSS community around EU projects 12