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检索条件"机构=Shanghai Key Laboratory of Computer Software Evaluating and Testing"
332 条 记 录,以下是121-130 订阅
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Construction of a Cloud Scenario Knowledge Graph for Cloud Service Market
Construction of a Cloud Scenario Knowledge Graph for Cloud S...
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IEEE International Conference on software Engineering and Service Sciences (ICSESS)
作者: Shiqi Zhang Xiaoqiang Liu Bo Xu Lizhi Cai Yun Hu School of Computer Science and Technology Donghua University & Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Software Center Shanghai China School of Computer Science and Technology Donghua University Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai Software Center Shanghai China
Fast-growing cloud computing technology makes cloud application scenarios more diversified and difficult to choose. A knowledge recommending system is an effective way to reach automatic recommendation services. In th... 详细信息
来源: 评论
Dietary Sequence Recommendations Based on TransFM
Dietary Sequence Recommendations Based on TransFM
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International Conference on Smart Grid and Electrical Automation (ICSGEA)
作者: Jie Wu Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai P. R. China
The rapid development of the Internet has changed people's lifestyles, and more and more people choose to eat online. The online catering platform for users inevitably needs to provide personalized recommendations... 详细信息
来源: 评论
A differential evolution-based approach for effort-Aware just-in-Time software defect prediction  1
A differential evolution-based approach for effort-Aware jus...
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1st ACM SIGSOFT International Workshop on Representation Learning for software Engineering and Program Languages, RL+SE and PL 2020, co-located with ESEC/FSE 2020
作者: Yang, Xingguang Yu, Huiqun Fan, Guisheng Yang, Kang East China University of Science and Technology Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China East China University of Science and Technology Shanghai Engineering Research Center of Smart Energy Shanghai China East China University of Science and Technology Shanghai China
software defect prediction technology is an effective method to improve software quality. Effort-Aware just-in-Time software defect prediction (JIT-SDP) aims to identify more defective changes in limited effort. Altho... 详细信息
来源: 评论
FedForgery: Generalized Face Forgery Detection with Residual Federated Learning
arXiv
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arXiv 2022年
作者: Liu, Decheng Dang, Zhan Peng, Chunlei Zheng, Yu Li, Shuang Wang, Nannan Gao, Xinbo The State Key Laboratory of Integrated Services Networks School of Cyber Engineering Xidian University Shaanxi Xi’an710071 China The School of Cyber Engineering Xidian University Shaanxi Xi’an710071 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai201112 China The State Key Laboratory of Integrated Services Networks School of Telecommunications Engineering Xidian University Shaanxi Xi’an710071 China The Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Chongqing400065 China
With the continuous development of deep learning in the field of image generation models, a large number of vivid forged faces have been generated and spread on the Internet. These high-authenticity artifacts could gr... 详细信息
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An Influence Maximization Algorithm Based on Real-Time and De-superimposed Diffusibility  15th
An Influence Maximization Algorithm Based on Real-Time and D...
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15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019
作者: Ren, Yue Zhang, Xinyuan Xia, Liting Lin, Yongze Zhao, Yue Li, Weimin School of Computer Engineering and Technology Shanghai University Shanghai China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China
Influence maximization is to find a small number of seed nodes in the network that maximize their influence on the network. Existing algorithms select a seed node with the greatest influence. This will inevitably have... 详细信息
来源: 评论
Research Review on Web Service Composition testing  8th
Research Review on Web Service Composition Testing
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8th International Workshop on Structured Object-Oriented Formal Language and Method, SOFL+MSVL 2018
作者: Du, Zhoujie Miao, Huaikou School of Computer Engineering and Science Shanghai University Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai China
Web services composition is designed to achieve a more powerful and large-grained services with organic synthesis of different Web services. In order to guarantee the quality of the Web services composition, comprehen... 详细信息
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Combining Product Line Approach and Formal Specification for Product Family Modeling  5
Combining Product Line Approach and Formal Specification for...
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5th IEEE International Conference on computer and Communications, ICCC 2019
作者: Wang, Xi Shanghai University School of Computer Engineering and Science Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai201114 China
The lack of systematic approach for product family modeling leads to difficulties in developing a series of high-quality software products simultaneously. This paper tackles this challenge by combining product line ap... 详细信息
来源: 评论
An Optimization Method Based on Be-ACO Algorithm in Service Composition Context
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Computational intelligence and neuroscience 2022年 第1期2022卷 5231262页
作者: Zhoujie Du Huaikou Miao School of Computer Engineering and Science Shanghai University Shanghai 200444 China. Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai 201112 China.
With the increasing complexity of users' needs and increasing uncertainty of a single web service in big data environment, service composition becomes more and more difficult. In order to improve the solution accu...
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Energy-Aware Resource Scheduling with Fault-Tolerance in Edge Computing  16th
Energy-Aware Resource Scheduling with Fault-Tolerance in Edg...
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16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019
作者: Xue, Yanfen Fan, Guisheng Yu, Huiqun Sun, Huaiying Department of Computer Science and Engineering East China University of Science and Technology Shanghai China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China
Edge computing extends computation and storage resources to the edge of the network, which largely improve the performance problem of cloud computing incurred by the bandwidth limitation. And it still needs to address... 详细信息
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Message from the InSTA 2022 chairs
Proceedings - 2022 IEEE 14th International Conference on Sof...
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Proceedings - 2022 IEEE 14th International Conference on software testing, Verification and Validation Workshops, ICSTW 2022 2022年 xvii页
作者: Masuda, Satoshi Nishi, Yasuharu Hagar, Jon Katayama, Tetsuro Liu, Qin Liu, Zhenyu Tsuda, Kazuhiko Yumoto, Tsuyoshi Takeda, T. Zhang, W. Hiruta, Y. Suhara, H. Masuda, S. Suzuki, K. Hagar, J. Tokyo City University Japan The University of Electro-Communications Japan Grand Software Testing United States University of Miyazaki Japan Tongji University China Shanghai Key Laboratory of Computer Software Testing and Evaluation China China University of Tsukuba Japan Japan Npo ASTER Japan Japan Software Bug Prediction Model Based on Mathematical Graph Features Metrics Japan Obtaining Fuzzing Results with Different Timeouts
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