Replication Package for Representation of Developer Expertise in Open Source Software

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) Pub Date : 2021-05-01 DOI:10.1109/ICSE-Companion52605.2021.00109

Tapajit Dey, Andrey Karnauch, A. Mockus

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引用次数: 1

Abstract

This describes the artifact associated with the article "Representation of Developer Expertise in Open Source Software" at the International Conference on Software Engineering 2021. The aim of the original paper was to define afeasible representation of adeveloper's expertise in specific focus areas of software development by gauging their fluency with different sets of APIs. The artifact is made available through Zenodo under the CC-BY-4.0 license at https://doi.org/10.5281/zenodo.4457107. The README file has detailed instructions on how to replicate the results presented in the original paper. The artifact includes the input dataset (with the developers' names and email addresses replaced by their corresponding SHA1 digest values to protect privacy) and all the associated scripts. The trained Doc2Vec models are also included in the artifact. These models can be used to obtain the Skill Space representations of developers, projects, and APIs without having to re-train the model.

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用于表示开源软件中开发人员专业知识的复制包

这描述了与2021年国际软件工程会议上的文章“开源软件中开发人员专业知识的表示”相关的工件。原始论文的目的是通过衡量开发人员对不同api集的熟练程度来定义开发人员在软件开发的特定重点领域的专业知识的可行表示。根据CC-BY-4.0许可，该工件可通过Zenodo在https://doi.org/10.5281/zenodo.4457107上获得。README文件提供了关于如何复制原论文中给出的结果的详细说明。工件包括输入数据集(开发人员的姓名和电子邮件地址被其相应的SHA1摘要值替换，以保护隐私)和所有相关的脚本。经过训练的Doc2Vec模型也包含在工件中。这些模型可用于获得开发人员、项目和api的Skill Space表示，而无需重新训练模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

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