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Article

Visual Data Mining in Software Archives to Detect How Developers Work Together

Authors:

Peter Weissgerber,

Michael BurchAuthors Info & Claims

MSR '07: Proceedings of the Fourth International Workshop on Mining Software Repositories

Page 9

https://doi.org/10.1109/MSR.2007.34

Published: 20 May 2007 Publication History

Abstract

Analyzing the check-in information of open source software projects which use a version control system such as CVS or SUBVERSION can yield interesting and important insights into the programming behavior of developers. As in every major project tasks are assigned to many developers, the development must be coordinated between these programmers. This paper describes three visualization techniques that help to examine how programmers work together, e.g. if they work as a team or if they develop their part of the software separate from each other. Furthermore, phases of stagnation in the lifetime of a project can be uncovered and thus, possible problems are revealed. To demonstrate the usefulness of these visualization techniques we performed case studies on two open source projects. In these studies interesting patterns of developers' behavior, e.g. the specialization on a certain module can be observed. Moreover, modules that have been changed by many developers can be identified as well as such ones that have been altered by only one programmer,.

References

[1]

{1} G. Antoniol, M. D. Penta, H. Gall, and M. Pinzger. Towards the integration of versioning systems, bug reports and source code meta-models. Electronic Notes in Theoretical Computer Science, 127(3), 2005.

[2]

{2} T. Ball and S. Eick. Software Visualization in the Large. IEEE Computer, 29(4), 1996.

Digital Library

[3]

{3} C. Bird, A. Gourley, P. T. Devanbu, M. Gertz, and A. Swaminathan. Mining email social networks. In Proc. of Int. Workshop on Mining Software Repositories MSR, Shanghai, China, May 2006.

Digital Library

[4]

{4} M. Burch, S. Diehl, and P. Weißgerber. Visual Data Mining in Software Archives. In Proc. ACM Symposium on Software Visualization SOFTVIS, St. Louis, Missouri, USA, May 2005.

Digital Library

[5]

{5} C. Collberg, S. G. Kobourov, J. Nagra, J. Pitts, and K. Wampler. A System for Graph-Based Visualization of the Evolution of Software. In Proc. of ACM Symposium on Software Visualization SOFTVIS, San Diego, USA, June 2003.

Digital Library

[6]

{6} M. D'Ambros and M. Lanza. Software bugs and evolution: A visual approach to uncover their relationship. In Proc. of 10th European Conference on Software Maintenance and Reengineering CSMR, Bari, Italy, March 2006.

Digital Library

[7]

{7} S. Diehl and C. Görg. Graphs, They Are Changing. In Proc. of Int. Symposium on Graph Drawing GD, Irvine, USA, August 2002.

Digital Library

[8]

{8} M. Fischer, M. Pinzger, and H. Gall. Populating a release history database from version control and bug tracking systems. In Proc. of Int. Conference on Software Maintenance ICSM, Amsterdam, The Netherlands, September 2003.

Digital Library

[9]

{9} H. Gall, M. Jazayeri, and J. Krajewski. CVS release history data for detecting logical couplings. In Proc. Int. Workshop on Principles of Software Evolution IWPSE, Helsinki, Finland, September 2003.

Digital Library

[10]

{10} T. Gîrba, S. Ducasse, and M. Lanza. Yesterday's weather: Guiding early reverse engineering efforts by summarizing the evolution of changes. In Proc. of Int. Conference on Software Maintenance ICSM, Chicago, Illinois, USA, September 2004.

Digital Library

[11]

{11} C. Görg, P. Birke, M. Pohl, and S. Diehl. Dynamic Graph Drawing of Sequences of Orthogonal and Hierarchical Graphs. In Proc. of Int. Symposium on Graph Drawing GD, New York, USA, September 2004.

Digital Library

[12]

{12} T. Gîrba, A. Kuhn, M. Seeberger, and S. Ducasse. How developers drive software evolution. In Proc. Int. Workshop on Principles of Software Evolution IWPSE, Lisbon, Portugal, September 2005.

Digital Library

[13]

{13} S. Kim, T. Zimmermann, K. Pan, and E. J. W. Jr. Automatic identification of bug introducing changes. In Proc. of Int. Conference on Automated Software Engineering ASE, Tokyo, Japan, November 2006.

Digital Library

[14]

{14} D. V. Steward. The Design Structure System: A Method for Managing the Design of Complex Systems. IEEE Transactions on Engineering Management, 28, 1981.

[15]

{15} L. Voinea, A. Telea, and J. J. van Wijk. CVSScan: Visualization of code evolution. In Proc. of ACM Symposium on Software Visualization SOFTVIS, St. Louis, Missouri, USA, May 2005.

Digital Library

[16]

{16} A. Ying, G. Murphy, R. Ng, and M. Chu-Carroll. Predicting Source Code Changes by Mining Change History. IEEE Transactions of Software Engineering, 30(9), 2004.

Digital Library

[17]

{17} T. Zimmermann, S. Diehl, and A. Zeller. How History Justifies System Architecture (or Not). In Proc. Int. Workshop on Principles of Software Evolution IWPSE, Helsinki, Finland, September 2003.

Digital Library

[18]

{18} T. Zimmermann, P. Weißgerber, S. Diehl, and A. Zeller. Mining Version Histories to Guide Software Changes. IEEE Transactions of Software Engineering, 31(6), 2005.

Digital Library

Cited By

Rodeghero PHuo DDing TMcMillan CGethers M(2016)An empirical study on how expert knowledge affects bug reportsJournal of Software: Evolution and Process10.1002/smr.177328:7(542-564)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1002/smr.1773
Zanjani MKagdi HBird CPenta MPinzger MRobbes R(2015)Using developer-interaction trails to triage change requestsProceedings of the 12th Working Conference on Mining Software Repositories10.5555/2820518.2820532(88-98)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2820518.2820532
Müller CReina GErtl TItoh TBottoni PTakahashi S(2015)In-Situ Visualisation of Fractional Code Ownership over TimeProceedings of the 8th International Symposium on Visual Information Communication and Interaction10.1145/2801040.2801055(13-20)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2801040.2801055
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Visual Data Mining in Software Archives to Detect How Developers Work Together

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cover image ACM Conferences

MSR '07: Proceedings of the Fourth International Workshop on Mining Software Repositories

May 2007

186 pages

ISBN:076952950X

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering

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IEEE Computer Society

United States

Publication History

Published: 20 May 2007

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Cited By

Rodeghero PHuo DDing TMcMillan CGethers M(2016)An empirical study on how expert knowledge affects bug reportsJournal of Software: Evolution and Process10.1002/smr.177328:7(542-564)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1002/smr.1773
Zanjani MKagdi HBird CPenta MPinzger MRobbes R(2015)Using developer-interaction trails to triage change requestsProceedings of the 12th Working Conference on Mining Software Repositories10.5555/2820518.2820532(88-98)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2820518.2820532
Müller CReina GErtl TItoh TBottoni PTakahashi S(2015)In-Situ Visualisation of Fractional Code Ownership over TimeProceedings of the 8th International Symposium on Visual Information Communication and Interaction10.1145/2801040.2801055(13-20)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2801040.2801055
Hossen MKagdi HPoshyvanyk DRoy CBegel AMoonen L(2014)Amalgamating source code authors, maintainers, and change proneness to triage change requestsProceedings of the 22nd International Conference on Program Comprehension10.1145/2597008.2597147(130-141)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2597008.2597147
Hemmati HNadi SBaysal OKononenko OWang WHolmes RGodfrey MZimmermann TDi Penta MKim S(2013)The MSR cookbook: mining a decade of researchProceedings of the 10th Working Conference on Mining Software Repositories10.5555/2487085.2487150(343-352)Online publication date: 18-May-2013
https://dl.acm.org/doi/10.5555/2487085.2487150
Hattori Ldos Santos Jr GCardoso FSampaio Mda Silva Torres RRubira C(2008)Mining software repositories for software change impact analysisProceedings of the 23rd Brazilian symposium on Databases10.5555/1498932.1498953(210-223)Online publication date: 13-Oct-2008
https://dl.acm.org/doi/10.5555/1498932.1498953
Weißgerber PNeu DDiehl SHassan ALanza MGodfrey M(2008)Small patches get in!Proceedings of the 2008 international working conference on Mining software repositories10.1145/1370750.1370767(67-76)Online publication date: 10-May-2008
https://dl.acm.org/doi/10.1145/1370750.1370767
Pohl MDiehl SCheng Lde Souza CDittrich YJohn MHazzan OMaurer FSharp HSinger JSim SSillito JStorey MTessem BVenolia G(2008)What dynamic network metrics can tell us about developer rolesProceedings of the 2008 international workshop on Cooperative and human aspects of software engineering10.1145/1370114.1370135(81-84)Online publication date: 13-May-2008
https://dl.acm.org/doi/10.1145/1370114.1370135

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