Vol. 63, No. 9, 2020 Cover Contents

Special Focus on Big Data-Driven Intelligent Software Development for Onsite Programming
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

LSTM-based argument recommendation for non-API methods
Li, Guangjie; Liu, Hui; Li, Ge; Shen, Sijie; Tang, Hanlin
Sci China Inf Sci, 2020, 63(9): 190101
Keywords: argument recommendation; LSTM; deep learning; non-API
Cite as: Li G J, Liu H, Li G, et al. LSTM-based argument recommendation for non-API methods. Sci China Inf Sci, 2020, 63(9): 190101, doi: 10.1007/s11432-019-2830-8

Special Focus on Big Data-Driven Intelligent Software Development for Onsite Programming
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Quality assessment of crowdsourced test cases
Zhao, Yuan; Feng, Yang; Wang, Yi; Hao, Rui; Fang, Chunrong; Chen, Zhenyu
Sci China Inf Sci, 2020, 63(9): 190102
Keywords: crowdsourcing; onsite programming; test quality; programming behavior
Cite as: Zhao Y, Feng Y, Wang Y, et al. Quality assessment of crowdsourced test cases. Sci China Inf Sci, 2020, 63(9): 190102, doi: 10.1007/s11432-019-2859-8

Special Focus on Big Data-Driven Intelligent Software Development for Onsite Programming
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

An analysis of correctness for API recommendation: are the unmatched results useless?
Kong, Xianglong; Han, Weina; Liao, Li; Li, Bixin
Sci China Inf Sci, 2020, 63(9): 190103
Keywords: API recommendation; onsite programming; correctness; evaluation of recommendation
Cite as: Kong X L, Han W N, Liao L, et al. An analysis of correctness for API recommendation: are the unmatched results useless?. Sci China Inf Sci, 2020, 63(9): 190103, doi: 10.1007/s11432-019-2929-9

Special Focus on Big Data-Driven Intelligent Software Development for Onsite Programming
LETTER Website SpringerLink Google Scholar Cited in SCI: 0

A quantitative benefit evaluation of code search platform for enterprises
Shi, Zhan; Tang, Jie; Yu, Hao; Xing, Yongxu; Liu, Zhiwei; Bai, Wei; Li, Tao
Sci China Inf Sci, 2020, 63(9): 190104
Keywords: code search; efficiency evaluation; software engineering; efficiency engineer; development platform
Cite as: Shi Z, Tang J, Yu H, et al. A quantitative benefit evaluation of code search platform for enterprises. Sci China Inf Sci, 2020, 63(9): 190104, doi: 10.1007/s11432-019-2831-6

Special Focus on Big Data-Driven Intelligent Software Development for Onsite Programming
LETTER Website SpringerLink Google Scholar Cited in SCI: 0

A data-driven approach for recommending UI element layout
Long, Yonghao; Chen, Xiangping; Xie, Yuting
Sci China Inf Sci, 2020, 63(9): 190105
Keywords: UI development; Software mining; Layout recommendation; Data-driven development; Intelligent Software Development
Cite as: Long Y H, Chen X P, Xie Y T. A data-driven approach for recommending UI element layout. Sci China Inf Sci, 2020, 63(9): 190105, doi: 10.1007/s11432-019-2860-3

Special Focus on Big Data-Driven Intelligent Software Development for Onsite Programming
LETTER Website SpringerLink Google Scholar Cited in SCI: 0

Code line generation based on deep context-awareness of onsite programming
Tao, Chuanqi; Bao, Panpan; Huang, Zhiqiu
Sci China Inf Sci, 2020, 63(9): 190106
Keywords: Onsite Programming; code line; deep context-awareness; quality assurance; re-ranking
Cite as: Tao C Q, Bao P P, Huang Z Q. Code line generation based on deep context-awareness of onsite programming. Sci China Inf Sci, 2020, 63(9): 190106, doi: 10.1007/s11432-019-2777-2