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Titlebook: Recommendation Systems in Software Engineering; Martin P. Robillard,Walid Maalej,Thomas Zimmermann Book 2014 Springer-Verlag Berlin Heidel

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樓主: 哪能仁慈
41#
發(fā)表于 2025-3-28 16:43:10 | 只看該作者
Source Code-Based Recommendation Systemse most reliable data source. It provides a rich and structured source of information upon which recommendation systems can rely to provide useful recommendations to software developers. Source code-based recommendation systems provide support for tasks such as how to use a given API or framework, pr
42#
發(fā)表于 2025-3-28 20:28:44 | 只看該作者
43#
發(fā)表于 2025-3-28 23:11:18 | 只看該作者
44#
發(fā)表于 2025-3-29 03:25:32 | 只看該作者
45#
發(fā)表于 2025-3-29 09:53:05 | 只看該作者
Recommendation Deliverybe delivered with a user interface that allows the user to become aware that recommendations are available, to determine if any of the recommendations have value for them and to be able to act upon a recommendation. By synthesizing previous results from general recommendation system research and sof
46#
發(fā)表于 2025-3-29 13:59:26 | 只看該作者
Dimensions and Metrics for Evaluating Recommendation Systemscovery tasks, and approximate computation, among others. They have recently become popular and have attracted a wide variety of application scenarios ranging from business process modeling to source code manipulation. Due to this wide variety of application domains, different approaches and metrics
47#
發(fā)表于 2025-3-29 19:28:18 | 只看該作者
48#
發(fā)表于 2025-3-29 23:46:08 | 只看該作者
49#
發(fā)表于 2025-3-30 01:04:40 | 只看該作者
50#
發(fā)表于 2025-3-30 06:19:53 | 只看該作者
Reuse-Oriented Code Recommendation Systemsommendation systems that have the ability to unobtrusively suggest immediately applicable reuse opportunities can become a crucial step toward realizing this goal and making reuse more practical. This chapter focuses on tools that support reuse through the recommendation of source code—. (ROCR). The
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