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CITATION.cff

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type: software
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title: API-Editor
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repository-code: https://github.com/lars-reimann/api-editor
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license: MIT
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preferred-citation:
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type: conference-paper
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conference:
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name: >-
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2022 IEEE/ACM 44th International Conference on
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Software Engineering: New Ideas and Emerging Results
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year: 2022
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title: >-
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Improving the Learnability of Machine Learning APIs
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by Semi-Automated API Wrapping
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affiliation: >-
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Institute for Computer Science III, University
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of Bonn, Germany
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orcid: 'https://orcid.org/0000-0002-5129-3902'
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orcid: "https://orcid.org/0000-0002-5129-3902"
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- affiliation: >-
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Institute for Computer Science III, University
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of Bonn, Germany
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given-names: Günter
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family-names: Kniesel-Wünsche
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identifiers:
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- type: doi
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value: 10.1109/ICSE-NIER55298.2022.9793507
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description: IEEE Xplore
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- type: doi
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value: 10.48550/arXiv.2203.15491
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description: arXiv (preprint)
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abstract: >-
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A major hurdle for students and professional
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software developers who want to enter the world of
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implemented by semi-automated wrapping of the
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existing third-party API.
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keywords:
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- >-
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APIs , libraries , usability , learnability ,
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machine learning
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- APIs
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- libraries
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- usability
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- learnability
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- machine learning
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doi: "10.1109/ICSE-NIER55298.2022.9793507"

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