A Social Developer Digital Footprint for Skills Proficiency
| Project/Area Number |
20K19774
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 60050:Software-related
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| Research Institution | Nara Institute of Science and Technology |
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Principal Investigator |
KULA RAULA・GAIKOVINA (ラウラ ガイコビナ・クラ) 奈良先端科学技術大学院大学, 先端科学技術研究科, 准教授 (80749094)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2023: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2022: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | pythonic competency / empirical studies / coding competency / repository mining / protestware / newcomer candidate / proficiency skills / conformance patterns / pythonic code / Social Digital Footprint / Repository Mining / Skills Proficiency / Social Developer / Software Ecosystems |
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| Outline of Research at the Start |
The applicant proposes a framework to leverage a social developer digital footprint trails of evidence on the Internet, to measure skills proficiency. Contributions benefit developer social status by protecting privacy and provide insights on how developers contribute sustainable software.
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| Outline of Annual Research Achievements |
Moving away from development a final framework, we conducted more empirical studies into the development workflows. In terms of mapping proficiency, we utilized other artifacts such as the documentation. As part of the research plan, we conducted empirical studies to understand developer discussions not only in one projects, but across multiple ecosystems. We mined GitHub repositories, and retrieved the GitHub discussions. We also took a ecosystem approach to study their activities. In terms of the research plan, we completed the third phase of understanding the critical software ecosystems onboarding and sustainability. Key outcomes include datasets mapping developer activities with proficiency.
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Report
(4 results)
Research Products
(53 results)
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[Journal Article] Python Competency Level through Code Analysis2022
Author(s)
Gregorio Robles, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Tattiya Sakulniwat, Kenichi Matsumoto, Jesus M. Gonzalez-Barahona
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Journal Title
International Conference on Program Comprehension (ICPC 2022), IEEE ACM,
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Related Report
Peer Reviewed / Int'l Joint Research
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