A User Evaluation of a Collaborator Recommender based on Co-Changed Files
Active collaboration is essential for the success of software projects across the development life-cycle. Unfortunately, in social coding platforms, such as GitHub, it is still challenging for developers to identify potential collaborators with whom they could engage to create new/stronger ties and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Brazilian Computer Society
2024-03-01
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| Series: | Journal on Interactive Systems |
| Subjects: | |
| Online Access: | https://sol.sbc.org.br/journals/index.php/jis/article/view/3728 |
| _version_ | 1797271587645292544 |
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| author | Kattiana Constantino Raquel Prates Eduardo Figueiredo |
| author_facet | Kattiana Constantino Raquel Prates Eduardo Figueiredo |
| author_sort | Kattiana Constantino |
| collection | DOAJ |
| description |
Active collaboration is essential for the success of software projects across the development life-cycle. Unfortunately, in social coding platforms, such as GitHub, it is still challenging for developers to identify potential collaborators with whom they could engage to create new/stronger ties and enhance the quality of contributions. To this end, we implemented developer recommendation strategies and prototype tool to help project contributors improve their collaborations. Thus, in this work, we described a controlled experimental study concerned usability and user satisfaction to investigate the developers’ perceptions of using CoopFinder, a prototype tool to support two strategies for recommending collaborations. These developer recommendation strategies aim to connect developers of a specific project based on their similar interests. The study involved 35 participants, 18 of which were GitHub users, and 17 were non–GitHub users. We asked participants to perform the experiment tasks to find collaborators with similar interests using a prototype recommendation tool and GitHub. We reported a quantitative and qualitative evaluation of strategies and tool using the state of the practice as a baseline. As a result, we observed that recommender based on co–changed files can provide suitable collaborator recommendations to developers of a specific project. About 66% of the participants confirmed they would use or recommend this tool.
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| first_indexed | 2024-03-07T14:06:45Z |
| format | Article |
| id | doaj.art-4badfac484f041968ea1027bc2f1b389 |
| institution | Directory Open Access Journal |
| issn | 2763-7719 |
| language | English |
| last_indexed | 2024-03-07T14:06:45Z |
| publishDate | 2024-03-01 |
| publisher | Brazilian Computer Society |
| record_format | Article |
| series | Journal on Interactive Systems |
| spelling | doaj.art-4badfac484f041968ea1027bc2f1b3892024-03-06T18:54:41ZengBrazilian Computer SocietyJournal on Interactive Systems2763-77192024-03-0115110.5753/jis.2024.3728A User Evaluation of a Collaborator Recommender based on Co-Changed FilesKattiana Constantino0Raquel Prates1Eduardo Figueiredo2Federal University of Minas GeraisFederal University of Minas GeraisFederal University of Minas Gerais Active collaboration is essential for the success of software projects across the development life-cycle. Unfortunately, in social coding platforms, such as GitHub, it is still challenging for developers to identify potential collaborators with whom they could engage to create new/stronger ties and enhance the quality of contributions. To this end, we implemented developer recommendation strategies and prototype tool to help project contributors improve their collaborations. Thus, in this work, we described a controlled experimental study concerned usability and user satisfaction to investigate the developers’ perceptions of using CoopFinder, a prototype tool to support two strategies for recommending collaborations. These developer recommendation strategies aim to connect developers of a specific project based on their similar interests. The study involved 35 participants, 18 of which were GitHub users, and 17 were non–GitHub users. We asked participants to perform the experiment tasks to find collaborators with similar interests using a prototype recommendation tool and GitHub. We reported a quantitative and qualitative evaluation of strategies and tool using the state of the practice as a baseline. As a result, we observed that recommender based on co–changed files can provide suitable collaborator recommendations to developers of a specific project. About 66% of the participants confirmed they would use or recommend this tool. https://sol.sbc.org.br/journals/index.php/jis/article/view/3728Open-Source Software ProjectsCollaborative Software DevelopmentDistributed CollaborationDeveloper Recommendation |
| spellingShingle | Kattiana Constantino Raquel Prates Eduardo Figueiredo A User Evaluation of a Collaborator Recommender based on Co-Changed Files Journal on Interactive Systems Open-Source Software Projects Collaborative Software Development Distributed Collaboration Developer Recommendation |
| title | A User Evaluation of a Collaborator Recommender based on Co-Changed Files |
| title_full | A User Evaluation of a Collaborator Recommender based on Co-Changed Files |
| title_fullStr | A User Evaluation of a Collaborator Recommender based on Co-Changed Files |
| title_full_unstemmed | A User Evaluation of a Collaborator Recommender based on Co-Changed Files |
| title_short | A User Evaluation of a Collaborator Recommender based on Co-Changed Files |
| title_sort | user evaluation of a collaborator recommender based on co changed files |
| topic | Open-Source Software Projects Collaborative Software Development Distributed Collaboration Developer Recommendation |
| url | https://sol.sbc.org.br/journals/index.php/jis/article/view/3728 |
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