research-article

Identifying features in forks

Authors:

Ştefan Stănciulescu,

Olaf Leßenich,

Andrzej Wąsowski,

Christian KästnerAuthors Info & Claims

ICSE '18: Proceedings of the 40th International Conference on Software Engineering

Pages 105 - 116

https://doi.org/10.1145/3180155.3180205

Published: 27 May 2018 Publication History

Abstract

Fork-based development has been widely used both in open source communities and in industry, because it gives developers flexibility to modify their own fork without affecting others. Unfortunately, this mechanism has downsides: When the number of forks becomes large, it is difficult for developers to get or maintain an overview of activities in the forks. Current tools provide little help. We introduce Infox, an approach to automatically identify non-merged features in forks and to generate an overview of active forks in a project. The approach clusters cohesive code fragments using code and network-analysis techniques and uses information-retrieval techniques to label clusters with keywords. The clustering is effective, with 90 % accuracy on a set of known features. In addition, a human-subject evaluation shows that Infox can provide actionable insight for developers of forks.

References

[1]

2016. Dear Github Issue 109: Tell us Concisely What Other People Changed in Their Forks. (2016). https://github.com/dear-github/dear-github/issues/109

[2]

2016. Dear Github Issue 175: Better overview over forks. (2016). https://github.com/dear-github/dear-github/issues/175

[3]

2017. Lovely Forks Browser Extension: Show notable forks of Github repositories under their names. (2017). https://github.com/musically-ut/lovely-forks

[4]

Michal Antkiewicz, WenbinJi, Thorsten Berger, Krzysztof Czarnecki, Thomas Schmorleiz, Ralf Laemmel, Stefan Stănciulescu, Andrzej Wąsowski, and Ina Schaefer. 2014. Flexible Product Line Engineering with a Virtual Platform. In Comp. Int'l Conf. Software Engineering (ICSE). ACM, 532--535.

Digital Library

[5]

Mike Barnett, Christian Bird, Joao Brunet, and Shuvendu K Lahiri. 2015. Helping Developers Help Themselves: Automatic Decomposition of Code Review Changesets. In Proc. Int'l Conf. Software Engineering (ICSE), Vol. 1. IEEE, 134--144.

Digital Library

[6]

Thorsten Berger, Divya Nair, Ralf Rublack, Joanne M Atlee, Krzysztof Czarnecki, and Andrzej Wasowski. 2014. Three Cases of Feature-based Variability Modeling in Industry. In Proc. Int'l Conf. Model Driven Engineering Languages and Systems (MoDELS). Springer, 302--319.

[7]

Christian Bird and Thomas Zimmermann. 2012. Assessing the Value of Branches with What-if Analysis. In Proc. Int'l Symposium Foundations of Software Engineering (FSE). ACM, 45.

Digital Library

[8]

Jürgen Bitzer and Philipp JH Schröder. 2006. The Impact of Entry and Competition by Open Source Software on Innovation Activity. The economics of open source software development (2006), 219--245.

[9]

Jan Bosch. 2009. From Software Product Lines to Software Ecosystems. In Proc. Int'l Software Product Line Conf. (SPLC). Carnegie Mellon University, 111--119.

Digital Library

[10]

Simon Butler, Michel Wermelinger, Yijun Yu, and Helen Sharp. 2011. Improving the Tokenisation of Identifier Names. Proc. Europ. Conf. Object-Oriented Programming (ECOOP) (2011), 130--154.

Digital Library

[11]

Kunrong Chen and Václav Rajlich. 2000. Case Study of Feature Location using Dependence Graph. In Proc. Int'l Workshop on Program Comprehension (IWPC). IEEE, 241--247.

Digital Library

[12]

Bredan Cleary and Chris Exton. 2007. Assisting Concept Location in Software Comprehension. Ph.D. Dissertation. University of Limerick.

[13]

Brendan Cleary, Chris Exton, Jim Buckley, and Michael English. 2009. An Empirical Analysis of Information Retrieval based Concept Location Techniques in Software Comprehension. Empirical Software Engineering 14, 1 (2009), 93--130.

Digital Library

[14]

Michael L Collard, Michael John Decker, and Jonathan I Maletic. 2013. srcML: An Infrastructure for the Exploration, Analysis, and Manipulation of Source Code: A Tool Demonstration. In Proc. Int'l Conf. Software Maintenance (ICSM). IEEE, 516--519.

Digital Library

[15]

Bas Cornelissen, Andy Zaidman, Arie Van Deursen, Leon Moonen, and Rainer Koschke. 2009. A Systematic Survey of Program Comprehension through Dynamic Analysis. IEEE Trans. Softw. Eng. (TSE) 35, 5 (2009), 684--702.

Digital Library

[16]

Davor Čubranić and Gail C Murphy. 2003. Hipikat: Recommending Pertinent Software Development Artifacts. In Proc. Int'l Conf. Software Engineering (ICSE). IEEE Computer Society, 408--418.

Digital Library

[17]

Davor ČubraniĆ, Gail C Murphy, Janice Singer, and Kellogg S Booth. 2004. Learning from Project History: a Case Study for Software Development. In Proc. Conf. Computer Supported Cooperative Work (CSCW). ACM, 82--91.

Digital Library

[18]

Davor Cubranic, Gail C Murphy, Janice Singer, and Kellogg S Booth. 2005. Hipikat: A Project Memory for Software Development. IEEE Trans. Softw. Eng. (TSE) 31, 6 (2005), 446--465.

Digital Library

[19]

Laura Dabbish, Colleen Stuart, Jason Tsay, and Jim Herbsleb. 2012. Social Coding in GitHub: Transparency and Collaboration in an Open Software Repository. In Proc. Conf. Computer Supported Cooperative Work (CSCW). ACM, 1277--1286.

Digital Library

[20]

Laura Dabbish, Colleen Stuart, Jason Tsay, and James Herbsleb. 2013. Leveraging Transparency. IEEE Software 30, 1 (2013), 37--43.

Digital Library

[21]

Martín Dias, Alberto Bacchelli, Georgios Gousios, Damien Cassou, and Stéphane Ducasse. 2015. Untangling fine-grained code changes. In Proc. Int'l Conf. Software Analysis, Evolution, and Reengineering (SANER). IEEE, 341--350.

[22]

Bogdan Dit, Meghan Revelle, Malcom Gethers, and Denys Poshyvanyk. 2013. Feature Location in Source Code: a Taxonomy and Survey. Journal of software: Evolution and Process 25, 1 (2013), 53--95.

[23]

Yael Dubinsky, Julia Rubin, Theodore Berger, Slawomir Duszynski, Matthias Becker, and Krzysztof Czarnecki. 2013. An Exploratory Study of Cloning in Industrial Software Product Pines. In Proc. Europ. Conf. Software Maintenance and Reengineering(CSMR). IEEE, 25--34.

Digital Library

[24]

Anh Nguyen Duc, Audris Mockus, Randy Hackbarth, and John Palframan. 2014. Forking and Coordination in Multi-platform Development: A Case Study. In Proc. Int'l Symp. Empirical Software Engineering and Measurement (ESEM). ACM, 59:1--59:10.

Digital Library

[25]

Marc Eaddy, Alfred V Aho, Giuliano Antoniol, and Yann-Gaël Guéhéneuc. 2008. Cerberus: Tracing Requirements to Source Code using Information Retrieval, Dynamic Analysis, and Program Analysis. In Proc. Int'l Conf. Program Comprehension (ICPC). Ieee, 53--62.

Digital Library

[26]

Thomas Eisenbarth, Rainer Koschke, and Daniel Simon. 2003. Locating Features in Source Code. IEEE Trans. Softw. Eng. (TSE) 29, 3 (2003), 210--224.

Digital Library

[27]

Thomas J Emerson. 1984. A Discriminant Metric for Module Cohesion. In Proc. Int'l Conf. Software Engineering (ICSE). IEEE Press, 294--303.

Digital Library

[28]

Michael D. Ernst, Greg J. Badros, and David Notkin. 2002. An Empirical Analysis of C Preprocessor Use. IEEE Trans. Softw. Eng. (TSE) (2002), 1146--1170.

Digital Library

[29]

Neil A Ernst, Steve Easterbrook, and John Mylopoulos. 2010. Code Forking in Open-source Software: a Requirements Perspective. arXiv preprint arXiv:1004.2889 (2010).

[30]

Janet Feigenspan, Maria Papendieck, Christian Kästner, Mathias Frisch, and Raimund Dachselt. 2011. FeatureCommander: Colorful #ifdef World. In Proc. Int'l Software Product Line Conf. (SPLC). ACM, 48.

Digital Library

[31]

Karl Fogel. 2005. Producing Open Source Software: How to Run a Successful Free Software Project. " O'Reilly Media, Inc.".

Digital Library

[32]

Santo Fortunato. 2010. Community Detection in Graphs. Physics reports 486, 3 (2010), 75--174.

[33]

Gregory Gay, Sonia Haiduc, Andrian Marcus, and Tim Menzies. 2009. On the Use of Relevance Feedback in IR-based Concept Location. In Proc. Int'l Conf. Software Maintenance (ICSM). IEEE, 351--360.

[34]

Michelle Girvan and Mark EJ Newman. 2002. Community Structure in Social and Biological Networks. Proceedings of the national academy of sciences 99, 12 (2002), 7821--7826.

[35]

Georgios Gousios, Martin Pinzger, and Arie van Deursen. 2014. An Exploratory Study of the Pull-based Software Development Model. In Proceedings of the 36th International Conference on Software Engineering. ACM, 345--355.

Digital Library

[36]

Georgios Gousios, Bogdan Vasilescu, Alexander Serebrenik, and Andy Zaidman. 2014. Lean GHTorrent: GitHub Data on Demand. In Proc. Int'l Conf. Mining Software Repositories (MSR). ACM, 384--387.

Digital Library

[37]

Kim Herzig and Andreas Zeller. 2011. Untangling Changes. Unpublished manuscript, September 37 (2011), 38--40.

[38]

Kim Herzig and Andreas Zeller. 2013. The Impact of Tangled Code Changes. In Proc. Int'l Conf. Mining Software Repositories (MSR). IEEE Press, 121--130.

Digital Library

[39]

Kim Herzig and Andreas Zeller. 2013. The Impact of Tangled Code Changes. In Proc. Int'l Conf. Mining Software Repositories (MSR). IEEE, 121--130.

Digital Library

[40]

Emily Hill, Lori Pollock, and K Vijay-Shanker. 2007. Exploring the Neighborhood with Dora to Expedite Software Maintenance. In Proc. Int'l Conf. Automated Software Engineering (ASE). ACM, 14--23.

Digital Library

[41]

Emily Hill, Lori Pollock, and K Vijay-Shanker. 2009. Automatically Capturing Source Code Context of NL-queries for Software Maintenance and Reuse. In Proc. Int'l Conf. Software Engineering (ICSE). IEEE, 232--242.

Digital Library

[42]

Riitta Jääskeläinen. 2010. Think-aloud Protocol. Handbook of translation studies 1 (2010), 371--374.

[43]

David Kawrykow and Martin P. Robillard. 2011. Non-essential Changes in Version Histories. In Proc. Int'l Conf. Software Engineering (ICSE). ACM, 351--360.

Digital Library

[44]

Adrian Kuhn, Stéphane Ducasse, and Tudor Gírba. 2007. Semantic Clustering: Identifying Topics in Source Code. Information and Software Technology (IST) 49, 3 (2007), 230--243.

Digital Library

[45]

AndrewM St Laurent. 2004. Understanding Open Source and Free Software Licensing: Guide to Navigating Licensing Issues in Existing & New Software. " O'Reilly Media, Inc.".

Digital Library

[46]

Sungjick Lee and Han-joon Kim. 2008. News Keyword Extraction for Topic Tracking. In Proc. Int'l Conf. Networked Computing and Advanced Information (NCM). IEEE, 554--559.

Digital Library

[47]

Yi Li, Chenguang Zhu, Julia Rubin, and Marsha Chechik. 2016. Precise Semantic History Slicing through Dynamic Delta Refinement. In Proc. Int'l Conf. Automated Software Engineering (ASE). 495--506.

Digital Library

[48]

Y. Li, C. Zhu, J. Rubin, and M. Chechik. 2017. Semantic Slicing of Software Version Histories. IEEE Trans. Softw. Eng. (TSE) (2017), 1--1.

[49]

Jörg Liebig, Sven Apel, Christian Lengauer, Christian Kästner, and Michael Schulze. 2010. An Analysis of the Variability in Forty Preprocessor-based Software Product Lines. In Proc. Int'l Conf. Software Engineering (ICSE).

Digital Library

[50]

Andrian Marcus, Andrey Sergeyev, Vaclav Rajlich, and Jonathan I Maletic. 2004. An information retrieval approach to concept location in source code. In Proc. Working Conf. Reverse Engineering (WCRE). IEEE, 214--223.

Digital Library

[51]

Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, and Rohit Gheyi. 2015. The Love/Hate Relationship with the C Preprocessor: An Interview Study. In Proc. Europ. Conf. Object-Oriented Programming (ECOOP). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 495--518.

[52]

Tommi Mikkonen and Linus Nyman. 2011. To Fork or Not to Fork: Fork Motivations in Source Forge Projects. Int. J. Open Source Softw. Process. 3, 3 (July 2011), 1--9.

Digital Library

[53]

Gail Cecile Murphy. 1996. Lightweight Structural Summarization as an Aid to Software Evolution. Ph.D. Dissertation.

[54]

Emerson Murphy-Hill, Chris Parnin, and Andrew P. Black. 2009. How We Refactor, and How We Know It. In Proc. Int'l Conf. Software Engineering (ICSE). IEEE Computer Society, 287--297.

Digital Library

[55]

Linus Nyman. 2014. Hackers on forking. In Proceedings of The International Symposium on Open Collaboration. ACM, 6.

Digital Library

[56]

Linus Nyman, Tommi Mikkonen, Juho Lindman, and Martin Fougère. 1999. Perspectives on Code Forking and Sustainability in Open Source Software. Why Linux on't fork (1999). http://linuxmafia.com/faq/Licensing_and_Law/forking.html.

[57]

Maksym Petrenko, Václav Rajlich, and Radu Vanciu. 2008. Partial Domain Comprehension in Software Evolution and Maintenance. In Proc. Int'l Conf. Program Comprehension (ICPC). IEEE, 13--22.

Digital Library

[58]

Denys Poshyvanyk and Andrian Marcus. 2007. Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code. In Proc. Int'l Conf. Program Comprehension (ICPC). IEEE, 37--48.

Digital Library

[59]

V. Rajlich and N. Wilde. 2002. The Role of Concepts in Program Comprehension. In Proc. Int'l Conf. Program Comprehension (ICPC). 271--278.

Digital Library

[60]

Eric S Raymond. 2001. The Cathedral & the Bazaar: Musings on linux and open source by an accidental revolutionary. " O'Reilly Media, Inc.".

Digital Library

[61]

Meghan Revelle, Bogdan Dit, and Denys Poshyvanyk. 2010. Using Data Fusion and Web Mining to Support Feature Location in Software. In Proc. Int'l Conf. Program Comprehension (ICPC). IEEE, 14--23.

Digital Library

[62]

Martin P Robillard. 2005. Automatic Generation of Suggestions for Program Investigation. In SIGSOFT Softw. Eng. Notes, Vol. 30. ACM, 11--20.

Digital Library

[63]

Martin P Robillard, David Shepherd, Emily Hill, K Vijay-Shanker, and Lori Pollock. 2007. An Empirical Study of the Concept Assignment Problem. School of Computer Science, McGill University, Tech. Rep. SOCS-TR-2007.3 (2007).

[64]

Gregorio Robles and Jesús M. González-Barahona. 2012. A Comprehensive Study of Software Forks: Dates, Reasons and Outcomes. In Open Source Systems: Long-Term Sustainability - 8th IFIP WG 2.13 International Conference, OSS 2012, Hammamet, Tunisia, September 10--13, 2012. Proceedings. 1--14.

[65]

Julia Rubin and Marsha Chechik. 2013. A Framework for Managing Cloned Product Variants. In Proc. Int'l Conf. Software Engineering (ICSE). IEEE Press, 1233--1236.

Digital Library

[66]

Johnny Saldana. 2015. The Coding Manual for Qualitative Researchers. Sage.

[67]

Gerard Salton and Christopher Buckley. 1988. Term-weighting Approaches in Automatic Text Retrieval. Information processing & management 24, 5 (1988), 513--523.

Digital Library

[68]

David Shepherd, Zachary P Fry, Emily Hill, Lori Pollock, and K Vijay-Shanker. 2007. Using Natural Language Program Analysis to Locate and Understand Action-oriented Concerns. In Proc. Int'l Conf. Aspect-Oriented Software Development (AOSD). ACM, 212--224.

Digital Library

[69]

Igor STEINMACHER, Gustavo H. L. PINTO, Igor Scaliante WIESE, and Marco Aurélio GEROSA. 2018. Almost There: A Study on Quasi-Contributors in Open-Source Software Projects. In Proc. Int'l Conf. Software Engineering (ICSE). 1--12.

Digital Library

[70]

Margaret-Anne Storey, Li-Te Cheng, Ian Bull, and Peter Rigby. 2006. Shared Waypoints and Social Tagging to Support Collaboration in Software Development. In Proc. Conf. Computer Supported Cooperative Work (CSCW). ACM, 195--198.

Digital Library

[71]

Ştefan Stănciulescu, Sandro Schulze, and Andrzej Wąsowski. 2015. Forked and Integrated Variants in an Open-Source Firmware Project. In Proc. Int'l Conf. Software Maintenance (ICSM). IEEE, 151--160.

Digital Library

[72]

Ching Y Suen. 1979. N-gram Statistics for Natural Language Understanding and Text Processing. IEEE transactions on pattern analysis and machine intelligence 2 (1979), 164--172.

Digital Library

[73]

Marcel Taeumel, Stephanie Platz, Bastian Steinert, Robert Hirschfeld, and Hidehiko Masuhara. 2017. Unravel Programming Sessions with THRESHER: Identifying Coherent and Complete Sets of Fine-granular Source Code Changes. Information and Media Technologies 12 (2017), 24--39.

[74]

Lei Tang and Huan Liu. 2010. Community Detection and Mining in Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery (2010), 1--137.

Digital Library

[75]

Greg R Vetter. 2007. Open Source Licensing and Scattering Opportunism in Software Standards. BCL Rev. 48 (2007), 225.

[76]

Norman Wilde and Michael C Scully. 1995. Software Reconnaissance: Mapping Program Features to Code. Journal of Software: Evolution and Process 7, 1 (1995), 49--62.

Digital Library

[77]

Andrew Y Yao. 2001. CVSSearch: Searching through Source Code using CVS Comments. In Proc. Int'l Conf. Software Maintenance (ICSM). IEEE Computer Society, 364.

Digital Library

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cover image ACM Conferences

ICSE '18: Proceedings of the 40th International Conference on Software Engineering

May 2018

1307 pages

ISBN:9781450356381

DOI:10.1145/3180155

Conference Chair:
Michel Chaudron
Chalmers University of Technology, University of Gothenburg, Sweden
,
General Chair:
Ivica Crnkovic
Chalmers University of Technology, University of Gothenburg, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Mark Harman
Facebook and University College London, United Kingdom

Copyright © 2018 ACM.

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Published: 27 May 2018

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May 27 - June 3, 2018

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https://dl.acm.org/doi/10.1145/3689747
Jarvenpaa SVälikangas L(2024)Forking From the Future: How an Interorganizational Network Learned Its Way to New Software BusinessIEEE Transactions on Engineering Management10.1109/TEM.2022.319395971(2744-2757)Online publication date: 2024
https://doi.org/10.1109/TEM.2022.3193959
Chen SCleophas LSchulze SKrüger J(2024)Use the Forks, Look! Visualizations for Exploring Fork Ecosystems2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER60148.2024.00107(993-1004)Online publication date: 12-Mar-2024
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