杨溢龙 - 北京航空航天大学

个人简介

助理教授，硕士生导师，2019年获澳门大学软件工程博士学位，2013年澳门联合国大学软件技术研究所(UNU-IIST) 客座Fellow，主要从事智能化软件工程相关研究。科研服务程序委员会委员: 载人航天学术大会'21，IJCAI'20，ECAI'20，NASAC'19 国际会议审稿人: EASE’21, FSEN'21, SETTA'20, TASE'20'19, ISSRE'19, SHE'20'19, ICTAC'17, ICFEM'16, KSE'15, and TASE'14 国际期刊审稿人: IEEE Transactions on Software Engineering, Automated Software Engineering, IEEE Internet of Things Journal, IET Intelligent Transport Systems, Computer Networks, Wireless Networks, Journal of Biomedical and Health Informatics, Applied Clinical Informatics, Frontier of Computer Science 主要科研成果课题组在自动化与智能化软件工程领域发表论文30余篇，提出了一种软件系统原型自动生成的方法RM2PT，用来帮助用户直观验证和确认需求。此工具发表在软件工程会ICSE'19’22’23 (Demonstration)，需求工程会议RE'19 和RE'20 (Tutorial)，工具理论部分发表在软件可靠性期刊IEEE Transactions on Reliability。RM2PT支持三方API服务库的集成，相关工作发表在服务计算会议ICWS'19 '20’ 21, ICSOC’21和相关期刊。此外积极从事软件工程与医疗健康等交叉研究，如电子健康档案EHR系统互通，药物处方软件设计及体内外性能预测的工作，成果发表在相关领域顶级期刊

研究领域

智能化需求工程主要研究基于大模型及模型驱动相结合的需求抽取技术、半结构化需求建模与分析，需求模型与文档自动生成、需求模型自动转换、基于需求模型的原型系统自动生成、基于原型的需求确认、验证、追踪及自动修复软件架构智能生成与优化主要研究基于基于大模型及模型驱动相结合的架构模型自动生成、基于代码的架构逆向生成、软件架构与设计的自动优化软件代码及目标系统智能生成主要研究基于模型的代码自动生成、基于数据的代码自动生成、基于软件复用技术的代码生成软件代码智能验证主要研究基于自动化测试的软件正确性与非功能需求验证、基于形式化方法的软件正确性验证

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Yang Li, Yang Zhang, Yilong Yang，Weiru Wang, Yongfeng Yin. “RM2MS: A Tool for Automatic Identification of Microservices from Requirements Models”. to be presented at the 26th International Conferences on Model Driven Engineering Languages and Systems (MODELS’23), V?ster?s, Sweden, October 2023. (Demonstration Track) Yang Zhang , Yang Li , Yilong Yang ，Shuang Chen， Juntao Gao，Weiru Wang，Yongfeng Yin. “RapidMS: A Tool for Supporting Rapid Microservices Generation and Refinement from Requirements Model”. to be presented at the 26th International Conferences on Model Driven Engineering Languages and Systems (MODELS’23), V?ster?s, Sweden, October 2023. (Demonstration Track) Yilong Yang, Bingjie Zeng, ZhiChing Chen, Juntao Gao. “PF-HCPS: Extending Problem Frames for Supporting Human-Cyber-Physical System Collaboration”. to be presented at the Workshop on Environment-Driven Requirements Engineering (EnviRE’23), Hannover, Germany, September 2023. Yilong Yang, Yuyu Cheng, Juntao Gao. “A Survey on Metaverse: Technologies, Applications,Future Trends and Challenges”. to be presented at the 2023 IEEE International Conference on Metaverse (Metaverse 2023), Portsmouth, UK, August 2023. Yongxin Zhao, Wenhan Wu, Yuan Fei, Zhihao Liu, Yang Li, Yilong Yang, Ling Shi, Bo Zhang. “An Architecture Refactoring Approach to Reducing Software Hierarchy Complexity”. Journal of Software: Evolution and Process (SEP’23)，May 2023. (Early Access) Hemanth Gudaparthi, Nan Niu, Yilong Yang, Matthew Van Doren, Reese Johnson. “Deep Learning’s Fitness for Purpose: A Transformation Problem Frame’s Perspective”. CAAI Transactions on Intelligence Technology (CIT’23’) 8(2), pp 343-354, Jun 2023. Zhen Tian, Yilong Yang, Sheng Cheng. “RM2DM: A Tool for Automatic Generation of OO Design Models from Requirements Models”. presented at the 45th International Conferences on Software Engineering (ICSE’23), Melbourne, Australia, May 2023. (Demonstration Track) Shuanglong Chang, Juntao Gao, Yilong Yang. “InputGen: A Tool for Automatic Generation of Prototype Inputs to Support Rapid Requirements Validation”. presented at the 45th International Conferences on Software Engineering (ICSE’23), Melbourne, Australia, May 2023. (Demonstration Track) Yilong Yang, Yibo Liu, Tianshu Bao, Weiru Wang, Yongfeng Yin. “DeepOCL: A Deep Natural Network for OCL Generation from Unrestricted Nature Language”. CAAI Transactions on Intelligence Technology (CIT’23’), May 2023. (Early Access) Xiaoming Wang, Yilong Yang, Weiru Wang, Yuanhua Zhou, Yongfeng Yin, Zhiguo Gong. “Generative Adversarial Networks based Motion Learning Towards Robotic Calligraphy Synthesis”. CAAI Transactions on Intelligence Technology (CIT’23’), Mar 2023. (Early Access). Tianshu Bao, Jing Yang, Yongfeng Yin, Yilong Yang. “RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models”. presented at the 44th International Conferences on Software Engineering (ICSE’22), Pittsburgh, PA, USA, May 2022. (Demonstration Track) Zhi Li, Ling Xie, Yilong Yang. “A Simplified Method for Automatic Verification of Java Programs”. presented at the 44th International Conferences on Software Engineering (SEKE’22), USA, July 2022. (Demonstration Track) Qiqi Gu, Wei Ke, Yilong Yang. “Transformation from MVC Applications to Smart Contracts”. presented at the 20th IEEE international conference on embedded and ubiquitous computing (EUC’22), Wuhan, China, Oct 2022. Jing Zhang, Changran Lei , Yilong Yang , Borui Wang, and Yang Chen. “MMA-Net: A MultiModal-Attention-based Deep Neural Network for Web Services Classification”. presented at International Conference Service-Oriented Computing (ICSOC’21), Dubai, UAE, November 2021 (Short Paper). Yilong Yang, Younggi Bok, Zhuoxi Yang, Eric Sheriff and Tong Li. “Goal2UCM: Automatic Generation of Use Case Model from iStar Model”. presented at The 14th International iStar Workshop as part of the 40th International Conference on Conceptual Modeling (iStar’21), St. John’s, NL, Canada, October 2021. Bing Li, Zhi Li, Yilong Yang. “NFRNet: A Deep Neural Network for Automatic Classification of Non-Functional Requirements.” presented at IEEE International Requirements Engineering Conference (RE’21), Notre Dame Basilica, USA, Sep. 2021. (Demonstration Track) Shangfeng Wei, Zhi Li, Yilong Yang, Hongbin Xiao. “Zoom4PF: A Tool for Refining Static and Dynamic Domain Descriptions in Problem Frames” presented at IEEE International Requirement Engineering Conference (RE’21), Notre Dame Basilica, USA, Sep. 2021 (Demonstration Track) Hongbin Xiao, Zhi Li, Yilong Yang, Jie Deng, and Shangfeng Wei. “An Extended Meta-Model of Problem Frames for Enriching Environmental Descriptions”. presented at IEEE International Workshop on Environment-Driven Requirements Engineering (EnviRE’21), Sep. 2021. Jing Zhang, Yang Chen, Yilong Yang, Changran Lei, Deqiang Wang. “ServeNet-LT: A Normalized Multi-head Deep Neural Network for Long-tailed Web Services Classification.”. presented at IEEE International Conferences on Web Services (ICWS’21), Chicago, IL, USA. September 2021. (Regular Paper). Yilong Yang, Zhaotian Li, Jing Zhang and Yang Chen. “Transfer Learning for Web Services Classification”. presented at IEEE International Conferences on Web Services (ICWS’21), Chicago, IL, USA. September 2021. (Short Paper). Bing Li, Zhi Li, Yilong Yang, “Residual Attention Graph Convolutional Network for Web Services Classification”. Neurocomputing (NeuCom’21). 440, pp. 45-57 (2021) Yilong Yang, Nafees Qamar, Peng Liu, Katarina Grolinger, Weiru Wang, Zhi Li, Zhifang Liao. “ServeNet: A Deep Neural Network for Web Services Classification. presented at IEEE 12th International Conferences on Web Services (ICWS’20), Beijing, China, Oct. 2020. (Regular Paper). Yilong Yang, Xiaoshan Li, Wei Ke, Zhiming Liu. “Automated Prototype Generation from Formal Requirements Model”. IEEE Transactions on Reliability (TR’20). 69(2), pp. 632-656, June 2020 Yilong Yang, Xiaoshan Li, Zhi Li. “Rapid Prototyping for Requirements Validation: A Best-Practice with RM2PT”. presented at the 28th IEEE International Requirements Engineering Conference (RE’20). Zurich, Switzerland, August 2020. (RE’20 Tutorial) Yilong Yang, Wei Ke, Weiru Wang, Yongxin Zhao “Deep Learning for Web Services Classification”. presented at IEEE 11th International Conferences on Web Services (ICWS’19), Milan, Italy, July 2019. (Work-in-progress Paper). Yilong Yang, Xiaoshan Li, Zhiming Liu, Wei Ke. “RM2PT: A Tool for Automated Prototype Generation from Requirements Model”. presented at the 41th International Conferences on Software Engineering (ICSE’19), Montreal, QC, Canada, May 2019. (Demonstration Track) Yilong Yang, Wei Ke and Xiaoshan Li. “RM2PT: Requirements Validation through Automatic Prototyping”. presented at the 27th IEEE International Requirements Engineering Conference (RE’19). Jeju Island, South Korea, September 2019. (Demonstration Track)