Leaving Behind the Software History When Transitioning to Open Source: Reasons and Implications
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[1] Anselm L. Strauss,et al. Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .
[2] Marco Aurélio Gerosa,et al. Almost There: A Study on Quasi-Contributors in Open-Source Software Projects , 2018, 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE).
[3] Daniel M. Germán,et al. An exploratory study of the evolution of software licensing , 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.
[4] Marco Tulio Valente,et al. A novel approach for estimating Truck Factors , 2016, 2016 IEEE 24th International Conference on Program Comprehension (ICPC).
[5] Leif Singer,et al. Creating a shared understanding of testing culture on a social coding site , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[6] Igor Steinmacher,et al. Who Drive Company-Owned OSS Projects: Employees or Volunteers? , 2017 .
[7] Márcio Ribeiro,et al. Unveiling and reasoning about co-change dependencies , 2016, MODULARITY.
[8] James D. Herbsleb,et al. Influence of social and technical factors for evaluating contribution in GitHub , 2014, ICSE.
[9] Marco Aurélio Gerosa,et al. On the challenges of open-sourcing proprietary software projects , 2018, Empirical Software Engineering.
[10] Gabriele Bavota,et al. License usage and changes: a large-scale study on gitHub , 2017, Empirical Software Engineering.
[11] Daniel M. Germán,et al. Understanding and Auditing the Licensing of Open Source Software Distributions , 2010, 2010 IEEE 18th International Conference on Program Comprehension.
[12] Eirini Kalliamvakou,et al. Open Source-Style Collaborative Development Practices in Commercial Projects Using GitHub , 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
[13] Gail C. Murphy,et al. Do Software Developers Understand Open Source Licenses? , 2017, 2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC).
[14] Igor Steinmacher,et al. Who drives company-owned OSS projects: internal or external members? , 2018, Journal of the Brazilian Computer Society.
[15] Katsuro Inoue,et al. Analysis of license inconsistency in large collections of open source projects , 2016, Empirical Software Engineering.
[16] Marco Aurélio Gerosa,et al. More Common Than You Think: An In-depth Study of Casual Contributors , 2016, 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER).
[17] Premkumar T. Devanbu,et al. The missing links: bugs and bug-fix commits , 2010, FSE '10.
[18] Vijayan Sugumaran,et al. A framework for creating hybrid‐open source software communities , 2002, Inf. Syst. J..
[19] Dirk Riehle,et al. Open Collaboration within Corporations Using Software Forges , 2009, IEEE Software.
[20] Igor Steinmacher,et al. Who Gets a Patch Accepted First? Comparing the Contributions of Employees and Volunteers , 2018, 2018 IEEE/ACM 11th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).
[21] Karl Fogel,et al. Producing open source software - how to run a successful free software project , 2005 .
[22] Barbara Russo,et al. Co-evolution of logical couplings and commits for defect estimation , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).
[23] Dongmei Zhang,et al. How do software engineers understand code changes?: an exploratory study in industry , 2012, SIGSOFT FSE.
[24] Gabriele Bavota,et al. Machine Learning-Based Detection of Open Source License Exceptions , 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE).
[25] Brian P. Bailey,et al. Software history under the lens: A study on why and how developers examine it , 2015, 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME).
[26] James D. Herbsleb,et al. Impression formation in online peer production: activity traces and personal profiles in github , 2013, CSCW.
[27] Gregg Rothermel,et al. On the benefits of providing versioning support for end users: An empirical study , 2014, TCHI.