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2013_socilaCom_StackOverflow and GitHub: Associations Between Software Development and Crowdsourced Knowledge. (2013). 2013_socilaCom_StackOverflow and GitHub: Associations Between Software Development and Crowdsourced Knowledge (pp. 1–8).

2013_software_Social NetworkingMeets SoftwareDevelopment:. (2012). 2013_software_Social NetworkingMeets SoftwareDevelopment:, 1–15.

2014_MSR_The Promises and Perils of Mining GitHub. (2014). 2014_MSR_The Promises and Perils of Mining GitHub, 1–10.

Aggarwal, K., Hindle, A., & Stroulia, E. (2014). Co-evolution of project documentation and popularity within github.Msr, 360–363.

An Exploratory Study of the Pull-based Software Development Model. (2013). An Exploratory Study of the Pull-based Software Development Model, 1–11.

ApS, S. (2012). Kodogit repository on github.

Avelino, G., Valente, M. T., & Hora, A. (2015). What is the Truck Factor of popular GitHub applications? A first assessment.PeerJPrePrints () E1233.

Bell, P., & Beer, B. (2015). Introducing GitHub - A Non-Technical Guide. O'Reilly 2015.

Bissyande, T. F., Lo, D., Jiang, L., Reveillere, L., Klein, J., & Le Traon, Y. (2013a). Got issues? Who cares about it? A large scale investigation of issue trackers from GitHub.2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE), 188–197.

Bissyande, T. F., Thung, F., Lo, D., Jiang, L., & Reveillere, L. (2013b). Popularity, Interoperability, and Impact of Programming Languages in 100,000 Open Source Projects (pp. 303–312). Presented at the 2013 IEEE 37th Annual Computer Software and Applications Conference (COMPSAC), IEEE.

Blincoe, K., Harrison, F., & Damian, D. (2015).Ecosystems in GitHub and a Method for Ecosystem Identification Using Reference Coupling (pp. 202–211). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Borges, H., Valente, M. T., Hora, A., & Coelho, J. (2015). On the Popularity of GitHub Applications: A Preliminary Note. CoRR Abs/1507.00604.

Casalnuovo, C., Devanbu, P., Oliveira, A., Filkov, V., & Ray, B. (2015). Assert Use in GitHub Projects (Vol. 1, pp. 755–766). Presented at the 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE), IEEE.

Coelho, R., Almeida, L., Gousios, G., & Deursen, A. V. (2015). Unveiling Exception Handling Bug Hazards in Android Based on GitHub and Google Code Issues (pp. 134–145). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Cosentino, V., Izquierdo, J. L. C., & Cabot, J. (2014).Three Metrics to Explore the Openness of GitHub projects.CoRR Abs/1409.4253.

Creating a Shared Understanding of Testing Culture on a Social Coding Site. (2013). Creating a Shared Understanding of Testing Culture on a Social Coding Site, 1–10.

Dabbish, L. (2011). 2012_CSCW_Social Coding in GitHub: Transparency and Collaboration in an Open Software Repository (pp. 1–10).

Dabbish, L., Stuart, C., Tsay, J., & Herbsleb, J. (2013). Leveraging Transparency. IEEE Software, 30(1), 37–43.

DeCausemaker, R., & Jacobs, S. (2015). Steal This Courseware: FOSS, Github, Python, and OpenShift (Abstract Only). Sigcse, 708–708.

Dediu, D. (2015). Language family classifications as Newick trees with branch length [database and software tool].

Farah, G., & Correal, D. (2013). Analysis of intercrossed open-source software repositories data in GitHub (pp. 1–6). Presented at the 2013 8th Computing Colombian Conference (8CCC), IEEE.

Finley, K. (2011). Github has surpassed sourceforge and google code in popularity. … /2011/06/02/github-has-passedsourceforge# awesm=~ ….

GIT CHEAT SHEET. (2015). GIT CHEAT SHEET, 1–2.

Gousios, G., Vasilescu, B., Serebrenik, A., & Zaidman, A. (2014). Lean GHTorrent: GitHub data on demand. the 11th Working Conference (pp. 384–387). New York, New York, USA: ACM.

Gousios, G., Zaidman, A., Storey, M.-A., & Deursen, A. V. (2015). Work Practices and Challenges in Pull-Based Development: The Integrator's Perspective (Vol. 1, pp. 358–368). Presented at the 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE), IEEE.

Grier, D. A. (2015). The GitHub Effect. Computer, 48(5), 116–116.

Grigorik, I. (2012). The github archive.

Guzman, E., Azócar, D., & Li, Y. (2014). Sentiment analysis of commit comments in GitHub: an empirical study. Msr, 352–355.

Gyimesi, P., Gyimesi, G., Tóth, Z., & Ferenc, R. (2015). Characterization of Source Code Defects by Data Mining Conducted on GitHub. Iccsa, 9159(Chapter 4), 47–62.

Hauff, C., & Gousios, G. (2015). Matching GitHub Developer Profiles to Job Advertisements (pp. 362–366). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Hellendoorn, V. J., Devanbu, P. T., & Bacchelli, A. (2015). Will They Like This? Evaluating Code Contributions with Language Models (pp. 157–167). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Holman, Z. (2012). How GitHub Uses GitHub to Build GitHub.

Izquierdo, J. L. C., Cosentino, V., Rolandi, B., Bergel, A., & Cabot, J. (2015). GiLA: GitHub label analyzer (pp. 479–483). Presented at the 2015 IEEE 22nd International Conference on Software Analysis, Evolution and Reengineering (SANER), IEEE.

Jiang, J., Zhang, L., & Li, L. (2013). Understanding project dissemination on a social coding site (pp. 132–141). Presented at the 2013 20th Working Conference on Reverse Engineering (WCRE), IEEE.

Jurado, F., & Marín, P. R. (2015). Sentiment Analysis in monitoring software development processes: An exploratory case study on GitHub's project issues. Journal of Systems and Software (), 104, 82–89.

Kalliamvakou, E., Damian, D., Blincoe, K., Singer, L., & German, D. M. (2015). Open Source-Style Collaborative Development Practices in Commercial Projects Using GitHub (Vol. 1, pp. 574–585). Presented at the 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE), IEEE.

Kalliamvakou, E., Gousios, G., Blincoe, K., Singer, L., German, D. M., & Damian, D. (2014).The promises and perils of mining GitHub.Msr, 92–101.

Lee, M. J., Ferwerda, B., Choi, J., Hahn, J., Moon, J. Y., & Kim, J. (2013). GitHub developers use rockstars to overcome overflow of news. CHI '13 Extended Abstracts on Human Factors in Computing Systems (pp. 133–138). New York, New York, USA: ACM.

Lima, A., 0004, L. R., & Musolesi, M. (2014). Coding Together at Scale: GitHub as a Collaborative Social Network. CoRR Abs/1407.2535.

Longo, J., & Kelley, T. M. (2015). Use of GitHub as a platform for open collaboration on text documents.OpenSym :1-22:2, 22–2.

Luo, Z., Mao, X., & Li, A. (2015). An Exploratory Research of GitHub Based on Graph Model (pp. 96–103). Presented at the 2015 Ninth International Conference on Frontier of Computer Science and Technology (FCST), IEEE.

Marlow, J. (2012). 2013_CSCW_Impression Formation in Online Peer Production: Activity Traces and Personal Profiles in GitHub (pp. 1–12).

Matragkas, N. D., Williams, J. R., Kolovos, D. S., & Paige, R. F. (2014). Analysing the “biodiversity” of open source ecosystems: the GitHub case. Msr, 356–359.

McDonald, N. (2013). 2013_CHI_Performance and Participation in Open Source Software on GitHub (pp. 1–6).

McDonald, N., Blincoe, K., Petakovic, E., & Goggins, S. P. (2014). Modeling Distributed Collaboration on GitHub. Advances in Complex Systems (ADVCS) 17(7-8), 17(07n08), 1450024.

Merelo, J. J., Rico, N., Blancas, I., Arenas, M. G., Tricas, F., & Vacas, J. A. (2015). Measuring the local GitHub developer community. CoRR Abs/1501.06857.

Montalvillo, L., & Díaz, O. (2015). Tuning GitHub for SPL development: branching models & repository operations for product engineers. Splc, 111–120.

Moura, I., Pinto, G., Ebert, F., & Castor, F. (2015). Mining Energy-Aware Commits (pp. 56–67). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Muthukumaran, K., Choudhary, A., & Murthy, N. L. B. (2015). Mining GitHub for Novel Change Metrics to Predict Buggy Files in Software Systems (pp. 15–20). Presented at the 2015 International Conference on Computational Intelligence & Networks (CINE), IEEE.

Nagappan, M., Robbes, R., Kamei, Y., Tanter, É., McIntosh, S., Mockus, A., & Hassan, A. E. (2015). An empirical study of goto in C code from GitHub repositories. Esec/SigsoftFse, 404–414.

Onoue, S., Hata, H., & Matsumoto, K.-I.(2013). A Study of the Characteristics of Developers' Activities in GitHub (Vol. 2, pp. 7–12). Presented at the 2013 20th Asia-Pacific Software Engineering Conference (APSEC), IEEE.

Padhye, R., Mani, S., & Sinha, V. S. (2014). A study of external community contribution to open-source projects on GitHub.Msr, 332–335.

Pham, R., Singer, L., & Schneider, K. (2013). Building test suites in social coding sites by leveraging drive-by commits (pp. 1209–1212). Presented at the 2013 35th International Conference on Software Engineering (ICSE), IEEE.

Pletea, D., Vasilescu, B., & Serebrenik, A. (2014). Security and emotion: sentiment analysis of security discussions on GitHub. the 11th Working Conference (pp. 348–351). New York, New York, USA: ACM.

Portugal, R. L. Q., do Prado Leite, J. C. S., & Almentero, E. (2015). Time-constrained requirements elicitation: reusing GitHub content (pp. 5–8). Presented at the Just-In-Time Requirements Engineering (JITRE), 2015 IEEE Workshop on, IEEE.

Rahman, M. M., & Roy, C. K. (2014). An insight into the pull requests of GitHub. Msr, 364–367.

Revisiting the Applicability of the Pareto Principle to Core Development Teams in Open Source Software Projects. (2015). Revisiting the Applicability of the Pareto Principle to Core Development Teams in Open Source Software Projects, 1–10.

Rusk, D., & Coady, Y. (2014). Location-Based Analysis of Developers and Technologies on GitHub (pp. 681–685). Presented at the 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), IEEE.

Russell, M. A. (2013). Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More.

Sawant, A. A., & Bacchelli, A. (2015). A Dataset for API Usage (pp. 506–509). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Sheoran, J., Blincoe, K., Kalliamvakou, E., Damian, D., & Ell, J. (2014). Understanding “watchers” on GitHub.Msr, 336–339.

Spinellis, D. (2012). Git. IEEE Software, 29(3), 100–101.

Szpakowski, S. (2013). YAP: A Computationally Efficient Workflow for Taxonomic Analyses of Bacterial 16S and Fungal ITS Sequences. (2013).

Takhteyev, Y., & Hilts, A. (2010). Investigating the geography of open source software through GitHub.

Teyton, C., Falleri, J.-R., Morandat, F., & Blanc, X. (2013). Find your library experts (pp. 202–211). Presented at the 2013 20th Working Conference on Reverse Engineering (WCRE), IEEE.

Thung, F., Bissyande, T. F., Lo, D., & Jiang, L. (2013). Network Structure of Social Coding in GitHub. 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013), 323–326.

Tomassetti, F., & Torchiano, M. (2014).An empirical assessment of polyglot-ism in GitHub.Ease :1-17:4, 17–4.

Tsay, J., Dabbish, L., & Herbsleb, J. (2014). 2014_FSE_Let's talk about it: evaluating contributions through discussion in GitHub (pp. 144–154). Presented at the the 22nd ACM SIGSOFT International Symposium, New York, New York, USA: ACM.

Vasilescu, B., Filkov, V., & Serebrenik, A. (2015a). Perceptions of Diversity on Git Hub: A User Survey (pp. 50–56). Presented at the 2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE), IEEE.

Vasilescu, B., Posnett, D., Ray, B., van den Brand, M. G. J., Serebrenik, A., Devanbu, P. T., & Filkov, V. (2015b). Gender and Tenure Diversity in GitHub Teams.Chi, 3789–3798.

Vasilescu, B., Schuylenburg, S. V., Wulms, J., Serebrenik, A., & Brand, M. G. J. V. D. (2014). Continuous Integration in a Social-Coding World: Empirical Evidence from GitHub (pp. 401–405). Presented at the 2014 IEEE International Conference on Software Maintenance and Evolution (ICSME), IEEE.

Vasilescu, B., Serebrenik, A., & Filkov, V. (2015c). A Data Set for Social Diversity Studies of GitHub Teams (pp. 514–517). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Vasilescu, B., Yu, Y., Wang, H., Devanbu, P. T., & Filkov, V. (2015d).Quality and productivity outcomes relating to continuous integration in GitHub.Esec/SigsoftFse, 805–816.

Veen, E. V. D., Gousios, G., & Zaidman, A. (2015). Automatically Prioritizing Pull Requests (pp. 357–361). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Vendome, C. (2015). A Large Scale Study of License Usage on GitHub (Vol. 2, pp. 772–774). Presented at the 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE), IEEE.

Vendome, C., Linares-Vasquez, M., Bavota, G., Di Penta, M., German, D., & Poshyvanyk, D. (2015). License Usage and Changes: A Large-Scale Study of Java Projects on GitHub (pp. 218–228). Presented at the 2015 IEEE 23rd International Conference on Program Comprehension (ICPC), IEEE.

Wang, W., Poo-Caamano, G., Wilde, E., & German, D. M. (2015). What Is the Gist? Understanding the Use of Public Gists on GitHub (pp. 314–323). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Weber, S., & Luo, J. (2014). What Makes an Open Source Code Popular on Git Hub? (pp. 851–855). Presented at the 2014 IEEE International Conference on Data Mining Workshop (ICDMW), IEEE.

Wu, Y., Kropczynski, J., Shih, P. C., & Carroll, J. M. (2014). Exploring the ecosystem of software developers on GitHub and other platforms. the companion publication of the 17th ACM conference (pp. 265–268). New York, New York, USA: ACM.

Yang Weicheng, ShenBeijun, & Xu Ben. (2013). Mining GitHub: Why Commit Stops -- Exploring the Relationship between Developer's Commit Pattern and File Version Evolution (Vol. 2, pp. 165–169). Presented at the 2013 20th Asia-Pacific Software Engineering Conference (APSEC), IEEE.

Yu, Y., Wang, H., Filkov, V., Devanbu, P., & Vasilescu, B. (2015). Wait for It: Determinants of Pull Request Evaluation Latency on GitHub (pp. 367–371). Presented at the 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), IEEE.

Yu, Y., Wang, H., Yin, G., & Ling, C. X. (2014a).Reviewer Recommender of Pull-Requests in GitHub.2014 IEEE International Conference on Software Maintenance and Evolution (ICSME), 609–612.

Yu, Y., Wang, H., Yin, G., & Ling, C. X. (2014b). Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration (Vol. 1, pp. 335–342). Presented at the 2014 21st Asia-Pacific Software Engineering Conference (APSEC), IEEE.

Yu, Y., Yin, G., Wang, H., & Wang, T. (2014c). Exploring the patterns of social behavior in GitHub. CrowdSoft@SIGSOFT FSE, 31–36.

Zagalsky, A., Feliciano, J., Storey, M.-A. D., Zhao, Y., & Wang, W. (2015). The Emergence of GitHub as a Collaborative Platform for Education.Cscw, 1906–1917.

Zhang, Lingxiao, Zou, Y., Xie, B., & Zhu, Z. (2014a). Recommending relevant projects via user behaviour: an exploratory study on github. CrowdSoft@SIGSOFT FSE, 25–30.

Zhang, Yang, Yin, G., Yu, Y., & Wang, H. (2014b). A Exploratory Study of @-Mention in GitHub's Pull-Requests (Vol. 1, pp. 343–350). Presented at the 2014 21st Asia-Pacific Software Engineering Conference (APSEC), IEEE.

Zhang, Yang, Yin, G., Yu, Y., & Wang, H. (2014c). Investigating social media in GitHub's pull-requests: a case study on Ruby on Rails. CrowdSoft@SIGSOFT FSE, 37–41.

Zhu, J., Zhou, M., & Mockus, A. (2014). Patterns of folder use and project popularity: a case study of github repositories. Esem :1-30:4, 30–4.