PERSPECTIVE
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Cited in SCI: 4
Toward actionable testing of deep learning models
Xiong, Yingfei; Tian, Yongqiang; Liu, Yepang; Cheung, Shing-Chi
Sci China Inf Sci, 2023, 66(7): 176101
Keywords: Deep Learnin; Testing; Bug Fixing; Machine Translation; Image Classification; Numeric Bugs
Cite as: Xiong Y F, Tin Y Q, Liu Y P, et al. Toward actionable testing of deep learning models. Sci China Inf Sci, 2023, 66(7): 176101, doi: 10.1007/s11432-022-3580-5
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Cluster-preserving sampling algorithm for large-scale graphs
Zhang, Jianpeng; Chen, Hongchang; Yu, Dingjiu; Pei, Yulong; Deng, Yingjun
Sci China Inf Sci, 2023, 66(1): 112103
Keywords: graph sampling; clustering structure; top-leader nodes; expansion strategies; large-scale graphs
Cite as: Zhang J P, Chen H C, Yu D J, et al. Cluster-preserving sampling algorithm for large-scale graphs. Sci China Inf Sci, 2023, 66(1): 112103, doi: 10.1007/s11432-021-3370-4
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ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph
Bai, Yude; Chen, Sen; Xing, Zhenchang; Li, Xiaohong
Sci China Inf Sci, 2023, 66(9): 192101
Keywords: malicious behavior; Android document; knowledge graph; malware family variant; machine learning
Cite as: Bai Y D, Chen S, Xing Z C, et al. ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph. Sci China Inf Sci, 2023, 66(9): 192101, doi: 10.1007/s11432-021-3414-7
From CAS & CAE Members
REVIEW
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Categorizing methods for integrating machine learning with executable specifications
Harel, David; Yerushalmi, Raz; Marron, Assaf; Elyasaf, Achiya
Sci China Inf Sci, 2024, 67(1): 111101
Keywords: machine learning; artificial intelligence; grey box learning; domain knowledge; rules; behavioral programming; deep reinforcement learning; survey
Cite as: Harel D, Yerushalmi R, Marron A, et al. Categorizing methods for integrating machine learning with executable specifications. Sci China Inf Sci, 2024, 67(1): 111101, doi: 10.1007/s11432-022-3826-6
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Deep learning-based open API recommendation for Mashup development
Wang, Ye; Chen, Junwu; Huang, Qiao; Xia, Xin; Jiang, Bo
Sci China Inf Sci, 2023, 66(7): 172102
Keywords: Mashup development; open API recommendation; deep learning; neural network; service discovery
Cite as: Wang Y, Chen J W, Huang Q, et al. Deep learning-based open API recommendation for Mashup development. Sci China Inf Sci, 2023, 66(7): 172102, doi: 10.1007/s11432-021-3531-0
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BATON: symphony of random testing and concolic testing through machine learning and taint analysis
Chen, Bihuan; Liu, Yang; Peng, Xin; Wu, Yijian; Qin, Shengchao
Sci China Inf Sci, 2023, 66(3): 132101
Keywords: system testing; random testing; concolic testing
Cite as: Chen B H, Liu Y, Peng X, et al. BATON: symphony of random testing and concolic testing through machine learning and taint analysis. Sci China Inf Sci, 2023, 66(3): 132101, doi: 10.1007/s11432-020-3403-2
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Context-aware API recommendation using tensor factorization
Zhou, Yu; Chen, Chen; Wang, Yongchao; Han, Tingting; Chen, Taolue
Sci China Inf Sci, 2023, 66(2): 122101
Keywords: API recommendation; tensor factorization; context awareness; word embedding; software development intelligent
Cite as: Zhou Y, Chen C, Wang Y C, et al. Context-aware API recommendation using tensor factorization. Sci China Inf Sci, 2023, 66(2): 122101, doi: 10.1007/s11432-021-3529-9
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LPW: an efficient data-aware cache replacement strategy for Apache Spark
Li, Hui; Ji, Shuping; Zhong, Hua; Wang, Wei; Xu, Lijie; Tang, Zhen; Wei, Jun; Huang, Tao
Sci China Inf Sci, 2023, 66(1): 112104
Keywords: Spark; memory; cache replacement; least partition weight; data-aware
Cite as: Li H, Ji S P, Zhong H, et al. LPW: an efficient data-aware cache replacement strategy for Apache Spark. Sci China Inf Sci, 2023, 66(1): 112104, doi: 10.1007/s11432-021-3406-5
LETTER
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A software-defined MAPE-K architecture for unmanned systems
Jiang, Mingyue; Zheng, Libin; Ding, Zuohua; Jin, Zhi
Sci China Inf Sci, 2023, 66(5): 159101
Keywords: software-defined architecture; unmanned systems; MAPE-K; metamodel; resource management
Cite as: Jiang M Y, Zheng L B, Ding Z H, et al. A software-defined MAPE-K architecture for unmanned systems. Sci China Inf Sci, 2023, 66(5): 159101, doi: 10.1007/s11432-020-3213-2
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Keywords: pull request; prediction model; GitHub
Cite as: Chen K X, Bao L F, Hu X, et al. E-PRedictor: an approach for early prediction of pull request acceptance. Sci China Inf Sci, 2025, 68(5): 152104, doi: 10.1007/s11432-022-3953-4
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Keywords: mobile app; recommendation; complex network; user behavior; policy-violating app
Cite as: Huang G, Lin F Q, Ma Y, et al. Characterizing the app recommendation relationships in the iOS app store: a complex network's perspective. Sci China Inf Sci, 2025, 68(4): 142101, doi: 10.1007/s11432-023-3973-1
REVIEW
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Keywords: deep learning; software engineering; software benchmark; software artifact representation; survey
Cite as: Chen X P, Hu X, Huang Y, et al. Deep learning-based software engineering: progress, challenges, and opportunities. Sci China Inf Sci, 2025, 68(1): 111102, doi: 10.1007/s11432-023-4127-5
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An efficient schedulability analysis based on worst-case interference time for real-time systems
Liu, Hongbiao; Yang, Mengfei; Qiao, Lei; Chen, Xi; Gong, Jian
Sci China Inf Sci, 2024, 67(9): 192103
Keywords: five-tuple real-time task model; real-time system; spacecraft; Internet of Things; exact schedulability analysis; worst-case interference time
Cite as: Liu H B, Yang M F, Qiao L, et al. An efficient schedulability analysis based on worst-case interference time for real-time systems. Sci China Inf Sci, 2024, 67(9): 192103, doi: 10.1007/s11432-022-3891-4
REVIEW
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Deep learning for code generation: a survey
Zhang, Huangzhao; Zhang, Kechi; Li, Zhuo; Li, Jia; Li, Yongmin; Zhao, Yunfei; Zhu, Yuqi; Liu, Fang; Li, Ge; Jin, Zhi
Sci China Inf Sci, 2024, 67(9): 191101
Keywords: code generation; automated software engineering; deep learning; large model; artificial intelligence
Cite as: Zhang H Z, Zhang K C, Li Z, et al. Deep learning for code generation: a survey. Sci China Inf Sci, 2024, 67(9): 191101, doi: 10.1007/s11432-023-3956-3
MOOP
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Keywords: open source software; open source community; community response; contributor retention; survival analysis
Cite as: Wang Z, Li Z X, Yu Y. Do community responses influence OSS contributor retention? A survival analysis. Sci China Inf Sci, 2024, 67(8): 184101, doi: 10.1007/s11432-024-4090-0
LETTER
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Improving actionable warning identification via the refined warning-inducing context representation
Ge, Xiuting; Fang, Chunrong; Li, Xuanye; Zhang, Quanjun; Liu, Jia; Zhao, Zhihong; Chen, Zhenyu
Sci China Inf Sci, 2024, 67(5): 159101
Keywords: Actionable warning identification; Warning representation; Program slicing; Static analysis; Machine learning
Cite as: Ge X T, Fang C R, Li X Y, et al. Improving actionable warning identification via the refined warning-inducing context representation. Sci China Inf Sci, 2024, 67(5): 159101, doi: 10.1007/s11432-023-3975-6
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What can we learn from quality assurance badges in open-source software?
Li, Feng; Lou, Yiling; Tan, Xin; Chen, Zhenpeng; Dong, Jinhao; Li, Yang; Wang, Xuanzhi; Hao, Dan; Zhang, Lu
Sci China Inf Sci, 2024, 67(4): 142103
Keywords: quality assurance; badge; open-source software; code quality; empirical study
Cite as: Li F, Lou Y L, Tan X, et al. What can we learn from quality assurance badges in open-source software?. Sci China Inf Sci, 2024, 67(4): 142103, doi: 10.1007/s11432-022-3611-3
REVIEW
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Keywords: software debugging; fault localization; program repair; artificial intelligence; machine learning
Cite as: Song Y, Xie X Y, Xu B W. When debugging encounters artificial intelligence: state of the art and open challenges. Sci China Inf Sci, 2024, 67(4): 141101, doi: 10.1007/s11432-022-3803-9
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Keywords: functionality prediction; incomplete programming code; syntactical information; code representation model; deep learning algorithm
Cite as: Yu Y S, Huang Z Q, Shen G H, et al. ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model. Sci China Inf Sci, 2024, 67(1): 112105, doi: 10.1007/s11432-021-3665-1
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LegoDroid: flexible Android app decomposition and instant installation
Liu, Yi; Ma, Yun; Xiao, Xusheng; Xie, Tao; Liu, Xuanzhe
Sci China Inf Sci, 2023, 66(4): 142103
Keywords: performance; software bloat; instant installation; mobile applications; program analysis
Cite as: Liu Y, Ma Y, Xiao X S, et al. LegoDroid: flexible Android app decomposition and instant installation. Sci China Inf Sci, 2023, 66(4): 142103, doi: 10.1007/s11432-021-3528-7
