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A Survey of Learning Methods in Open Source Software

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Formal Methods. FM 2019 International Workshops (FM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12233))

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Abstract

Open source software (OSS) is usually developed by heterogeneous groups of people, each with their own interests, motivations and abilities. Therefore, it is important to establish the best software development and contributing practices early in the life-time of the project. Such practices should foster the contributors’ involvement in the OSS project as quickly as possible. The sustainability of an OSS project is heavily based on the underlying community of contributors and on the knowledge and skills they bring to the project and they acquire and develop through their participation in the project and interaction with the project community. Therefore, identifying and investigating contributors’ learning processes is an important research area in OSS.

This survey paper presents an overview of open source learning methods in order to explore how community interaction impacts the development and application of OSS learning processes in other areas, especially in education. It is argued that collaboration with peers and consistent code contributions result in learning progress in OSS. Typical research in this area is based on case by case analysis, whereas this survey tries to highlight and combine the outcomes of several research contributions from the literature.

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Suleimenov, A., Khuzyakhmetova, A., Cerone, A. (2020). A Survey of Learning Methods in Open Source Software. In: Sekerinski, E., et al. Formal Methods. FM 2019 International Workshops. FM 2019. Lecture Notes in Computer Science(), vol 12233. Springer, Cham. https://doi.org/10.1007/978-3-030-54997-8_10

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  • DOI: https://doi.org/10.1007/978-3-030-54997-8_10

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