Labelling issue reports in mobile apps-Reference-Cited by-同舟云学术

Labelling issue reports in mobile apps

Published:2019-12 Issue:6 Volume:13 Page:528-542
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

Zhang Tao¹²^ORCID,Li Haoming¹,Xu Zhou³,Liu Jian²⁴,Huang Rubing⁵^ORCID,Shen Yiran¹

Affiliation:

1. College of Computer Science and Technology Harbin Engineering University Harbin People's Republic of China

2. Key Laboratory of Network Assessment Technology Institute of Information Engineering Chinese Academy of Sciences Beijing People's Republic of China

3. School of Computer Science Wuhan University Wuhan People's Republic of China

4. School of CyberSpace Security University of Chinese Academy of Sciences Beijing People's Republic of China

5. School of Computer Science and Communication Engineering Jiangsu University Zhenjiang People's Republic of China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2018.5420

Reference58 articles.

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4. Interpreting TF-IDF term weights as making relevance decisions

5. Mikolov T. Sutskever I. Chen K. et al.: ‘Distributed representations of words and phrases and their compositionality’.Proc. 27th Int. Conf. on Neural Information Processing Systems Lake Tahoe NV USA 2013 pp.3111–3119

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2. An Empirical Investigation into the Reproduction of Bug Reports for Android Apps;2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2022-03

3. Can this fault be detected: A study on fault detection via automated test generation;Journal of Systems and Software;2020-12

4. Convolutional Neural Network Based Classification of App Reviews;IEEE Access;2020