A Multinomial Naive Bayesian (MNB) network to automatically recommend topics for GitHub repositories (EASE 2021 - EASE 2020)

Who

Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong T. Nguyen

Track

EASE 2021 EASE 2020

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When

Wed 23 Jun 2021 11:15 - 11:37 at Zoom - Artificial intelligence in software engineering Chair(s): Torgeir Dingsøyr

Link to Preprint

https://www.researchgate.net/publication/341128780_A_Multinomial_Naive_Bayesian_MNB_Network_to_Automatically_Recommend_Topics_for_GitHub_Repositories

Claudio Di Sipio

University of L'Aquila

Italy

Riccardo Rubei

University of L'Aquila

Davide Di Ruscio

University of L'Aquila

Italy

Phuong T. Nguyen

University of L’Aquila

Italy

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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Session Program

Wed 23 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:00	Artificial intelligence in software engineeringEASE 2020 at Zoom Chair(s): Torgeir Dingsøyr Norwegian University of Science and Technology

10:30 22m Full-paper		Automatic Identification of Decisions from the Hibernate Developer Mailing List EASE 2020 Xueying Li Wuhan University, Peng Liang Wuhan University, Zengyang Li Central China Normal University Pre-print Media Attached
10:52 22m Full-paper		A Bigram-based Inference Model for Retrieving Abbreviated Phrases in Source Code EASE 2020 Abdulrahman Alatawi , Weifeng Xu University of Baltimore, Dianxiang Xu University of Missouri
11:15 22m Full-paper		A Multinomial Naive Bayesian (MNB) network to automatically recommend topics for GitHub repositories EASE 2020 Claudio Di Sipio University of L'Aquila, Riccardo Rubei University of L'Aquila, Davide Di Ruscio University of L'Aquila, Phuong T. Nguyen University of L’Aquila Pre-print
11:37 22m Other		MLCQ: Industry-relevant Code Smell Data Set EASE 2020 Lech Madeyski , Tomasz Lewowski Wrocław University of Science and Technology Pre-print