Abstract
Open Source Software (OSS) projects leverage the contribution of outsiders. Usually these communities do not coordinate the work of the newcomers, who go to the issue trackers and self-select a task to start with. We found that “finding a way to start” is recurrently reported both by the literature and by practitioners as a barrier to onboard to an OSS project. We conducted a qualitative analysis with data obtained from semi-structured interviews with 36 subjects from 14 different projects. We used procedures of Grounded Theory – open and axial coding – to analyze the data. We found that newcomers are not enough confident to choose their initial task and they need information about the tasks or direction from the community.
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References
Choi, B., Alexander, K., Kraut, R.E., Levine, J.M.: Socialization Tactics in Wikipedia and Their Effects. In: Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, pp. 107–116 (2010)
Cubranic, D., Murphy, G.C., Singer, J., Booth, K.S.: Hipikat: a project memory for software development. IEEE Transactions on Software Engineering 31(6), 446–465 (2005)
Ducheneaut, N.: Socialization in an Open Source Software Community: A Socio-Technical Analysis. Computer Supported Cooperative Work (CSCW) 14(4), 323–368 (2005)
Halfaker, A., Geiger, R.S., Morgan, J., Riedl, J.: The Rise and Decline of an Open Collaboration System: How Wikipedia’s reaction to sudden popularity is causing its decline. American Behavioral Scientist 57 (2013)
Jensen, C., King, S., Kuechler, V.: Joining Free/Open Source Software Communities: An Analysis of Newbies’ First Interactions on Project Mailing Lists. In: 44th Hawaii Intl. Conf. on System Sciences, pp. 1–10 (2011)
Von Krogh, G., Spaeth, S., Lakhani, K.R.: Community, joining, and specialization in open source software innovation: a case study. Research Policy 32(7), 1217–1241 (2003)
Meirelles, P., Santos, C., Miranda, J., Kon, F., Terceiro, A., Chavez, C.: A study of the relationships between source code metrics and attractiveness in free software projects. In: 2010 Brazilian Symposium on Software Engineering (SBES), pp. 11–20 (2010)
Nakakoji, K., Yamamoto, Y., Nishinaka, Y., Kishida, K., Ye, Y.: Evolution Patterns of Open-source Software Systems and Communities. In: Proceedings of the International Workshop on Principles of Software Evolution, pp. 76–85 (2002)
Park, Y., Jensen, C.: Beyond pretty pictures: Examining the benefits of code visualization for Open Source newcomers. In: 5th Intl. Workshop on Visualizing Software for Understanding and Analysis, pp. 3–10 (2009)
Qureshi, I., Fang, Y.: Socialization in Open Source Software Projects: A Growth Mixture Modeling Approach. Org. Res. Methods 14(1), 208–238 (2011)
Seaman, C.B.: Qualitative methods in empirical studies of software engineering. IEEE Transactions on Software Engineering 25(4), 557–572 (1999)
Shah, S.K.: Motivation, Governance, and the Viability of Hybrid Forms in Open Source Software Development. Manage. Sci. 52(7), 1000–1014 (2006)
Singh, P.V.: The Small-world Effect: The Influence of Macro-level Properties of Developer Collaboration Networks on Open-source Project Success. ACM Trans. Softw. Eng. Methodol. 20(2), 6:1–6:27 (2010)
Steinmacher, I., Silva, M.A.G., Gerosa, M.A.: Systematic review on problems faced by newcomers to open source projects. In: 10th International Conference on Open Source Software, p. 10 (2014)
Steinmacher, I., Wiese, I., Chaves, A.P., Gerosa, M.A.: Why do newcomers abandon open source software projects? In: International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE), pp. 25–32 (2013)
Steinmacher, I., Wiese, I.S., Conte, T., Gerosa, M.A., Redmiles, D.: The Hard Life of Open Source Software Project Newcomers. In: International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2014) (2014) (2014)
Strauss, A., Corbin, J.M.: Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. SAGE Publications (1998)
Tidwell, L.C., Walther, J.B.: Computer-Mediated Communication Effects on Disclosure, Impressions, and Interpersonal Evaluations: Getting to Know One Another a Bit at a Time. Human Communication Research 28(3), 317–348 (2002)
Wang, J., Sarma, A.: Which bug should I fix: helping new developers onboard a new project. In: Proceedings of the 4th International Workshop on Cooperative and Human Aspects of Software Engineering, Waikiki, Honolulu, HI, USA, pp. 76–79 (2011)
Wolff-Marting, V., Hannebauer, C., Gruhn, V.: Patterns for tearing down contribution barriers to FLOSS projects. In: 12th Intl. Conf. on Intelligent Software Methodologies, Tools and Techniques, pp. 9–14 (2013)
Ye, Y., Kishida, K.: Toward an Understanding of the Motivation Open Source Software Developers. In: Proceedings of the 25th International Conference on Software Engineering, Portland, Oregon, pp. 419–429 (2003)
Zhou, M., Mockus, A.: What make long term contributors: Willingness and opportunity in OSS community. In: 2012 34th International Conference on Software Engineering (ICSE), pp. 518–528 (June 2012)
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Steinmacher, I., Gerosa, M.A. (2014). Choosing an Appropriate Task to Start with in Open Source Software Communities: A Hard Task. In: Baloian, N., Burstein, F., Ogata, H., Santoro, F., Zurita, G. (eds) Collaboration and Technology. CRIWG 2014. Lecture Notes in Computer Science, vol 8658. Springer, Cham. https://doi.org/10.1007/978-3-319-10166-8_31
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DOI: https://doi.org/10.1007/978-3-319-10166-8_31
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