BRAID: An API Recommender Supporting Implicit User Feedback
Fri 27 Aug 2021 00:10 - 00:15 - Analytics & Software Evolution—Recommender Systems Chair(s): Juri Di Rocco
Efficient application programming interface (API) recommendation is one of the most desired features of modern integrated development environments. A multitude of API recommendation approaches have been proposed. However, most of the currently available API recommenders do not support the effective integration of user feedback into the recommendation loop. In this paper, we present BRAID (Boosting RecommendAtion with Implicit FeeDback), a tool which leverages user feedback, and employs learning-to-rank and active learning techniques to boost recommendation performance. The implementation is based on the VSCode plugin architecture, which provides an integrated user interface. Essentially, BRAID is a general framework which can accommodate existing query-based API recommendation approaches as components. Comparative experiments with strong baselines demonstrate the efficacy of the tool. A video demonstrating the usage of BRAID can be found at https://youtu.be/naD0guvl8sE.
Thu 26 AugDisplayed time zone: Athens change
12:00 - 13:00 | Analytics & Software Evolution—Recommender SystemsDemonstrations / Industry Papers / Research Papers +12h Chair(s): Phuong T. Nguyen University of L’Aquila, Gabriele Bavota Università della Svizzera italiana (USI) | ||
12:00 10mPaper | Which Abbreviations Should Be Expanded? Research Papers Yanjie Jiang Beijing Institute of Technology, Hui Liu Beijing Institute of Technology, Yuxia Zhang Beijing Institute of Technology, Nan Niu University of Cincinnati, Yuhai Zhao Northeastern University, Lu Zhang Peking University DOI | ||
12:10 5mPaper | BRAID: An API Recommender Supporting Implicit User Feedback Demonstrations Yu Zhou Nanjing University of Aeronautics and Astronautics, Haonan Jin Nanjing University of Aeronautics and Astronautics, Xinying Yang Nanjing University of Aeronautics and Astronautics, Taolue Chen University of London, Krishna Narasimhan TU Darmstadt, Harald Gall University of Zurich DOI | ||
12:15 5mPaper | Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow Demonstrations Zhipeng Gao Monash University, Xin Xia Huawei Technologies, David Lo Singapore Management University, John Grundy Monash University, Yuan-Fang Li Monash University DOI | ||
12:20 5mPaper | StackEmo: Towards Enhancing User Experience by Augmenting Stack Overflow with Emojis Demonstrations DOI Media Attached | ||
12:25 5mPaper | Domain Adaptation for an Automated Classification of Deontic Modalities in Software Engineering Contracts Industry Papers DOI | ||
12:30 30mLive Q&A | Q&A (Analytics & Software Evolution—Recommender Systems) Research Papers | ||
Fri 27 AugDisplayed time zone: Athens change
00:00 - 01:00 | Analytics & Software Evolution—Recommender SystemsDemonstrations / Research Papers / Industry Papers Chair(s): Juri Di Rocco University of L'Aquila | ||
00:00 10mPaper | Which Abbreviations Should Be Expanded? Research Papers Yanjie Jiang Beijing Institute of Technology, Hui Liu Beijing Institute of Technology, Yuxia Zhang Beijing Institute of Technology, Nan Niu University of Cincinnati, Yuhai Zhao Northeastern University, Lu Zhang Peking University DOI | ||
00:10 5mPaper | BRAID: An API Recommender Supporting Implicit User Feedback Demonstrations Yu Zhou Nanjing University of Aeronautics and Astronautics, Haonan Jin Nanjing University of Aeronautics and Astronautics, Xinying Yang Nanjing University of Aeronautics and Astronautics, Taolue Chen University of London, Krishna Narasimhan TU Darmstadt, Harald Gall University of Zurich DOI | ||
00:15 5mPaper | Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow Demonstrations Zhipeng Gao Monash University, Xin Xia Huawei Technologies, David Lo Singapore Management University, John Grundy Monash University, Yuan-Fang Li Monash University DOI | ||
00:20 5mPaper | StackEmo: Towards Enhancing User Experience by Augmenting Stack Overflow with Emojis Demonstrations DOI Media Attached | ||
00:25 5mPaper | Domain Adaptation for an Automated Classification of Deontic Modalities in Software Engineering Contracts Industry Papers DOI | ||
00:30 30mLive Q&A | Q&A (Analytics & Software Evolution—Recommender Systems) Research Papers | ||