MigrationAdvisor:从大规模开源数据中推荐库迁移

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) Pub Date : 2021-05-01 DOI:10.1109/ICSE-Companion52605.2021.00023

Hao He, Yulin Xu, Xiaoyan Cheng, Guangtai Liang, Minghui Zhou

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引用次数: 5

摘要

在软件维护期间，开发人员可能需要将已经在使用的库迁移到具有类似功能的另一个库。然而，在信息、知识或专业知识有限的情况下，很难做出最优的迁移决策。在本文中，我们介绍了MigrationAdvisor，这是一个基于证据的工具，可以通过对大量GitHub存储库和Java库的智能分析来推荐库迁移目标。迁移建议是通过搜索引擎样式的web服务提供的，开发人员可以在其中寻找特定库的迁移建议。我们对结果的正确性进行系统的评估，并通过收集来自行业开发人员的使用反馈来评估工具的有用性。视频:https://youtu.be/4I75W22TqwQ。

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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MigrationAdvisor: Recommending Library Migrations from Large-Scale Open-Source Data

During software maintenance, developers may need to migrate an already in-use library to another library with similar functionalities. However, it is difficult to make the optimal migration decision with limited information, knowledge, or expertise. In this paper, we present MigrationAdvisor, an evidence-based tool to recommend library migration targets through intelligent analysis upon a large number of GitHub repositories and Java libraries. The migration advisories are provided through a search engine style web service where developers can seek migration suggestions for a specific library. We conduct systematic evaluations on the correctness of results, and evaluate the usefulness of the tool by collecting usage feedback from industry developers. Video: https://youtu.be/4I75W22TqwQ.

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

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