Publications

• Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen. On the Evaluation of Neural Code Translation: Taxonomy and Benchmark, International Conference on Automated Software Engineering (ASE), Kirchberg, Luxembourg, 11-15 Sep, 2023
• Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen. InfeRE: Step-by-Step Regex Generation via Chain of Inference, International Conference on Automated Software Engineering (ASE), Kirchberg, Luxembourg, 11-15 Sep, 2023
• Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu, Self-Supervised Query Reformulation for Code Search, 2023 ESEC/FSE, San Francisco, California, United States, 3-9 December 2023
• X. Miao, Z. Lin, S. Wang, L. Yu, S. Li, Z. Wang, P. Nie, Y. Chen, B. Shen, H. Jiang. Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX, The 45th IEEE/ACM International Conference on Software Engineering (ICSE), Melbourne, Australia, 14-20 May, 2023. ACM SIGSOFT Distinguished Paper.
• Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen. DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing, Neural Processing Letters, Springer, March 2023

• Tingrui Yu, Xiaodong Gu, Beijun Shen, Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training, THE 29th Asia-Pacific Software Engineering Conference (APSEC), Virtual, Dec. 6-9, 2022
• Dangwei Wu, Beijun Shen, Yuting Chen, Jiang He, Lei Qiao, Automatically Repairing Tensor Shape Faults in Deep Learning Programs, Information and Software Technology (IST), Volume 151, November 2022, 107027
• Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu, Diet Code is Healthy: Simplifying Programs for Pre-trained Code Models, ACM SIGSOFT Symposium on the Foundation of Software Engineering/European Software Engineering Conference (ESEC/FSE), Singapore, November 14-18, 2022
• Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen. Answering Software Deployment Questions via Neural Machine Reading at Scale, The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), Tool demo, Ann Arbor, Michigan, USA, October 10-14, 2022
• Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen. Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 32(7), 2022
• Nan Cui, , Beijun Shen, Zero-Shot Program Representation Learning, The 30th IEEE/ACM International Conference on Program Comprehension (ICPC), Virtual, May 16-17, 2022
• Shouliang Yang, Xiaodong Gu, Beijun Shen, Self-Supervised Learning of Smart Contract Representations, The 30th IEEE/ACM International Conference on Program Comprehension (ICPC), Virtual, May 16-17, 2022
• Yitian Chai, Xiaodong Gu, Beijun Shen, Cross-Domain Deep Code Search with Few-Shot Learning, The 44th IEEE/ACM International Conference on Software Engineering (ICSE), Pittsburgh, Pennsylvania, USA, May 21-29, 2022

• Yuetian Mao, Nan Cui, Shuai Yuan, Tianjiao Du, Beijun Shen, Yuting Chen. DeFiHap: Detecting and Fixing HiveQL Anti-Patterns, the 47th VLDB conference, Demonstration Track, Copenhagen, Denmark - August 16-20, 2021
• Nan Cui, Chunqi Chen, Beijun Shen, Yuting Chen. Learning to Match Workers and Tasks via a Multi-View Graph Attention Network, The 45th IEEE Computer Society Computers, Software, and Applications Conference (COMPSAC), 12-16 July, 2021
• Shouliang Yang, Junming Cao, Wenhui Jiang, Hushuang Zeng, Beijun Shen, and Hao Zhong. Locating Faulty Methods with a Mixed RNN and Attention Model, The 29th IEEE/ACM International Conference on Program Comprehension (ICPC), 18-20 May, 2021
• Haozhe Qin, Jiangang Zhu, Beijun Shen. Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates, 30th The Web Conference (WWW), Ljubljana, Slovenia, 19 -23 April, 2021
• Yiyang Fu, Beijun Shen, Yuting Chen, Linpeng Huang, TDMatcher: A topic-based approach to task-developer matching with predictive intelligence for recommendation, Applied Soft Computing, Oct. 2021
• Dangwei Wu, Beijun Shen, Yuting Chen, Tensfa: Detecting and Repairing Tensor Shape Faults in Deep Learning Systems, The 32nd International Symposium on Software Reliability Engineering (ISSRE), Oct. 25 - 28, 2021
• Mingxin Zhao, Qinyue Wu, Enze Ma, Beijun Shen, Yuting Chen, Context-Aware Conversational Recommendation of Trigger-Action Rules in IOT Programming, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), October 2021
• Hushuang Zeng, Jingxin Chen, Beijun Shen, Hao Zhong. Mining API Constraints from Library and Client to Detect API Misuses, THE 28th Asia-Pacific Software Engineering Conference (APSEC), 6th - 9th December, 2021
• Diwei Chen, Beijun Shen, Yuting Chen, ConLAR: Learning to Allocate Resources to Docker Containers under Time-Varying Workloads, The 21st IEEE International Conference on Software Quality, Reliability, and Security (QRS), 6th-10th December, 2021

• Qinyue Wu, Beijun Shen, Yuting Chen. Learning to Recommend Trigger-Action Rules for End-User Development: A Knowledge Graph Based Approach, The 19th International Conference on Software and Systems Reuse (ICSR), LNCS, Hammamet, Tunisia, 2-4 Dec. 2020
• Wei Li, Haozhe Qin, Shuhan Yan, Beijun Shen, Yuting Chen. Learning Code-Query Interaction for Enhancing Code Searches, The 36th IEEE International Conference on Software Maintenance and Evolution (ICSME), Adelaide, Australia, 27 Sep.- 3 Oct. 2020.
• Junming Cao, Shouliang Yang, Wenhui Jiang, Hushuang Zeng, Beijun Shen, and Hao Zhong. BugPecker: Locating faulty methods with deep learning on revision graphs, International Conference on Automated Software Engineering (ASE), new idea, Melbourne, Australia, 21-25 Sep. 2020.
• Qinyue Wu, Duankang Fu, Beijun Shen, Yuting Chen. Semantic Service Search in IT Crowdsourcing Platform: A Knowledge Graph Based Approach. International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 30(6), 2020:765-783
• Shuhan Yan, Hang Yu, Yuting Chen, Beijun Shen, Lingxiao Jiang. Are the Code Snippets What We Are Searching for? A Benchmark and An Empirical Study on Code Search with Natural-Language Queries. 27th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Western University in London, Ontario, Canada, February 18-21, 2020.
• Shuhan Yan, Tianjiao Du, Beijun Shen, YuTing Chen. Feedback2Code: A Deep Learning Approach to Identifying User-Feedback-Related Source Code Files. International Journal of Software Engineering and Knowledge Engineering, 2020.

• Wei Li, Shuhan Yan, Beijun Shen and Yuting Chen. Reinforcement Learning of Code Search Sessions, The 26th Asia-Pacific Software Engineering Conference (APSEC), 2-5 December 2019,Putrajaya, Malaysia
• Tianjiao Du, Junming Cao, Qinyue Wu, Wei Li, Beijun Shen, Yuting Chen, CocoQa: Question Answering for Coding Conventions over Knowledge Graphs, The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Tool Demo track, San Diego, California, United States, 11 - 15 November 2019. <color blue>Published</color>.
• Shufan Zhou, Beijun Shen, Hao Zhong, Lancer: Your Code Tell Me What You Need, The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), Tool Demo track, San Diego, California, United States, 11 - 15 November 2019. <color blue>Published</color>.
• Junming Cao, Tianjiao Du, Beijun Shen, Wei Li, Qinyue Wu, Yuting Chen. Constructing a Knowledge Base of Coding Conventions from Online Resources. In The 31th International Conference on Software Engineering and Knowledge Engineering (SEKE'19). <color blue>Published</color>. [PDF]
• Duankang Fu, Zhou Shufan, Beijun Shen, Yuting Chen. Enhancing Semantic Search of Crowdsourcing IT Services using Knowledge Graph. In The 31th International Conference on Software Engineering and Knowledge Engineering (SEKE'19). <color blue>Published</color>. [PDF]
• Chunqi Chen, Yunxiang Xiong, Beijun Shen, Yuting Chen. Generating SQL Statements from Natural Language Queries: A Multitask Learning Approach. In The 31th International Conference on Software Engineering and Knowledge Engineering (SEKE'19). <color blue>Published</color>. [PDF]
• Zeyu Ni, Zhangyuan Meng, Junming Cao, Beijun Shen, Yuting Chen. CrowDevBot: A Task-Oriented Conversational Bot for Software Crowdsourcing Platform. In The 31th International Conference on Software Engineering and Knowledge Engineering (SEKE'19). <color blue>Published</color>. [PDF]
• Yanru Peng, Yuting Chen and Beijun Shen. An Adaptive Approach to Recommending Obfuscation Rules for Java Bytecode Obfuscators. In The 43th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC'19). <color blue>Published</color>. [PDF]

• Runtao Qiao, Shuhan Yan and Beijun Shen. A Reinforcement Learning Solution to Cold-Start Problem in Software Crowdsourcing Recommendations. In International Conference on Progress in Informatics and Computing (PIC'18). <color blue>Published</color>. [PDF](<color red>Best Paper Award</color>)
• Shufan Zhou, Hao Zhong and Beijun Shen. SLAMPA: Recommending Code Snippets with Statistical Language Model. In The 25th Asia-Pacific Software Engineering Conference (APSEC'18). <color blue>Published</color>. [PDF]

• Yunxiang Xiong, Zhangyuan Meng, Beijun Shen and Wei Yin. Developer Identity Linkage and Behavior Mining across GitHub and StackOverflow. In International Journal of Software Engineering and Knowledge Engineering (IJSEKE'17). <color blue>Published</color>. [PDF]
• Shuhan Yan, Beijun Shen, Wenkai Mo and Ning Li. Transfer learning for cross-platform software crowdsourcing recommendation. In The 24th Asia-Pacific Software Engineering Conference (APSEC'17). <color blue>Published</color>. [PDF]
• Feiyue Yu, Hao Zhong and Beijun Shen. How do Programmers Maintain Concurrent Code. In The 24th Asia-Pacific Software Engineering Conference (APSEC'17). <color blue>Published</color>. [PDF]
• Yingyi Wang, Yuting Chen, Beijun Shen, Hao Zhong. CRSearcher:Searching Code Database for Repairing Bugs. In 9th Asia-Pacific Symposium on Internetware. <color blue>Published</color>. [PDF]
• Wei Yin, Wansheng Miao, Jiang Tuo, Xin Zhang, Min Zhang, Beijun Shen. Linked Data Enabled Collaboration in Large-Scale Avionics Software Development. In The 36th IEEE/AIAA Digital Avionics Systems Conference(DASC'17). <color blue>Published</color>. [PDF]
• Yunxiang Xiong, Zhangyuan Meng, Beijun Shen and Wei Yin. Mining Developer Behavior Across Github and StackOverflow. In The 29h International Conference on Software Engineering and Knowledge Engineering(SEKE'17). <color blue>Published</color>. [PDF]
• Yu Yang, Wenkai Mo, Beijun Shen and Yuting Chen. Cold-Start Developer Recommendation in Software Crowdsourcing: A Topic Sampling Approach. In The 29h International Conference on Software Engineering and Knowledge Engineering(SEKE'17). <color blue>Published</color>. [PDF]
• Zhangyuan Meng, Cheng Zhang, Beijun Shen and Yin Wei. A GQM-based Approach for Software Process Patterns Recommendation. In The 29h International Conference on Software Engineering and Knowledge Engineering(SEKE'17). <color blue>Published</color>. [PDF]

• Xiaoning Liu, Beijun Shen, Hao Zhong, Jiangang Zhu. EXPSOL: Recommending Online Threads for Exception-related Bug Reports. In Proceedings of the 23rd Asia-Pacific Software Engineering Conference (APSEC'16). <color blue>Published</color>. [PDF]
• Ning Li, Wenkai Mo, Beijun Shen. Task Recommendation with Developer Social Network in Software Crowdsourcing. In Proceedings of the 23rd Asia-Pacific Software Engineering Conference (APSEC'16). <color blue>Published</color>. [PDF]
• Shensi Tong, Qing He, Yuting Chen, Ye Yang, Beijun Shen. Heterogeneous Cross-Company Effort Estimation through Transfer Learning. In Proceedings of the 23rd Asia-Pacific Software Engineering Conference (APSEC'16). <color blue>Published</color>. [PDF]
• Cheng Zhang, Shensi Tong, Wenkai Mo, Yang Zhou, Yong Xia, Beijun Shen. ESSE: An Early Software Size Estimation Method Based on Auto-extracted Requirements Features. In Proceedings of the 23rd Asia-Pacific Software Engineering Conference (APSEC'16). <color blue>Published</color>. [PDF]
• Fagui Mao, Xuyang Cai, Beijun Shen, Yong Xia, Bo Jin. Operational Pattern Based Code Generation For Management Information System: An Industrial Case Study. In Proceedings of 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'16). <color blue>Published</color>. [PDF]
• Yucheng Zhang, Chengcheng Wan, Beijun Shen, Bo Jin. An Empirical Study on Recovering Requirement-to-Code Links. In Proceedings of 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'16). <color blue>Published</color>. [PDF]
• Shensi Tong, Hanlong Zhang, Beijun Shen, Hao Zhong, Yongjian Wang and Bo Jin. Detecting Gambling Sites From Post Behaviors. In Proceedings of 11th IEEE Conference on Industrial Electronics and Applications (ICIEA' 2016). <color blue>Published</color>. [PDF]
• Xuyang Cai, Jiangang Zhu, Beijun Shen, Yuting Chen. GRETA: Graph-Based Tag Assignment for GitHub Repositories. In Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC'16). <color blue>Published</color>. [PDF]
• Qing He, Beijun Shen, Yuting Chen. Defect Prediction Using Semi-supervised Learning with Change Burst Information. In Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC'16). <color blue>Published</color>. [PDF]
• Wenkai Mo, Jiangang Zhu, Zhenzheng Qian, Beijun Shen. SOLinker: Constructing Semantic Links between Tags and URLs on StackOverflow. In Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC'16). <color blue>Published</color>. [PDF]
• Zhenzheng Qian, Beijun Shen, Wenkai Mo, Yuting Chen. SatisIndicator: Leveraging User Reviews to Evaluate User Satisfaction of SourceForge Projects. In Proceedings of the 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC'16). <color blue>Published</color>. [PDF]
• Xiang Dong, Kai Chen, Jiangang Zhu, Beijun Shen. Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia. In Proceedings of the 28th International Conference on Software Engineering & Knowledge Engineering (SEKE'16). <color blue>Published</color>. [PDF]
• Kai Chen, Xiang Dong, Jiangang Zhu, Beijun Shen. Building a Domain Knowledge Base from Wikipedia: a Semi-supervised Approach. In Proceedings of the 28th International Conference on Software Engineering & Knowledge Engineering (SEKE'16). <color blue>Published</color>. [PDF]
• Weizhi Huang, Wenkai Mo, Beijun Shen, Yu Yang, Ning Li. CPDScorer: Modeling and Evaluating Developer Programming Ability across Software Communities. In Proceedings of the 28th International Conference on Software Engineering & Knowledge Engineering (SEKE'16). <color blue>Published</color>. [PDF]

• Wenkai Mo, Beijun Shen, Yuting Chen, Jiangang Zhu. TBIL: A Tagging-Based Approach to Identity Linkage Across Software Communities. In Proceedings of the 22nd Asia-Pacific Software Engineering Conference (APSEC'15). pp.56-63. [PDF] (<color red>Best Paper Award</color>)
• Jiangang Zhu, Beijun Shen, Fanghuai Hu. A Learning to Rank Framework for Developer Recommendation in Software Crowdsourcing. In Proceedings of the 22nd Asia-Pacific Software Engineering Conference (APSEC'15). pp.285-292.
• Wenkai Mo, Beijun Shen, Yuming He, Hao Zhong. GEMiner: Mining Social and Programming Behaviors to Identify Experts in Github. In Proceedings of the 7th Asia-Pacific Symposium on Internetware (Internetware'15). [PDF]
• Qing He, Biwen Li, Beijun Shen, Yong Xia. Cross-Project Software Defect Prediction Using Feature-Based Transfer Learning. In Proceedings of the 7th Asia-Pacific Symposium on Internetware (Internetware'15). [PDF]
• Jiangang Zhu, Haofen Wang, Beijun Shen. Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow. In Proceedings of the 14th International Semantic Web Conference (ISWC'15).
• Shizhe Fu, Beijun Shen. Code Bad Smell Detection through Evolutionary Data Mining. In Proceedings of the 9th International Symposium on Empirical Software Engineering and Measurement (ESEM'15). pp.41-49. [PDF]
• Shixiong Zhao, Beijun Shen, Yuting Chen, Hao Zhong. Towards Effective Developer Recommendation in Software Crowdsourcing. In Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering (SEKE'15). pp.326-329. [PDF]
• Jiangang Zhu, Beijun Shen, Xuyang Cai, Haofen Wang. Building a Large-scale Software Programming Taxonomy from Stackoverflow. In Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering (SEKE'15). pp.391-396.
• 张瀚珑, 沈备军, 王永剑. 基于模板检测的违法网站识别. 第十一届中国信息和通信安全学术会议，(<color red>获优秀论文</color>)，南京，2014.10，《南京理工大学学报》（自然科学版）

• Yu Zhang, Beijun Shen, Yuting Chen. Mining Developer Mailing List to Predict Software Defects. In Proceedings of the 21st Asia-Pacific Software Engineering Conference (APSEC'14). pp.383-390. [PDF]
• Biwen Li, Beijun Shen, Jun Wang, Yuting Chen, Tao Zhang, Jinshuang Wang. A Scenario-Based Approach to Predicting Software Defects Using Compressed C4.5 Model. In Proceedings of the 38th Annual Computer Software and Applications Conference (COMPSAC'14). pp.406-415. [PDF]
• Dai Meixi, Shen Beijun, Zhang Tao, Zhao Min, Impact of Consecutive Changes on Later File Versions, 3rd International Workshop on Evidential Assessment of Software Technologies (EAST'14), PP. 17-24, Nanjing, China, May 26, 2014
• Shixiong Zhao, Yuchen Zhang, Beijun Shen, Xin Shen, Rongbin Chen, Mass Data Processing and Personalized Services in Shanghai E-commerce Credit Evaluation Platform, 2014 International Conference on Progress in Informatics and Computing (PIC'14), PP.481-485, Shanghai, May 16-18, 2014
• Ying Jia, Beijun Shen, Tianyu Yu, Jiangang Zhu. An end-user oriented visual programming language. The 3rd International Conference on Computer Applications and Industrial Electronics, PP. 2141-2144, January 11-12, 2014

• Weicheng Yang, Beijun Shen, Ben Xu. Mining GitHub: Why Commit Stops - Exploring the Relationship between Developer's Commit Pattern and File Version Evolution. In Proceedings of the 20th Asia-Pacific Software Engineering Conference (APSEC'13). pp.165-169. [PDF]
• Tianyu Yu，Beijun Shen. An End-User Domain-Specific Language for University Information Systems，The 1st International Conference on Information System and Electronic Commerce, Harbin, China, Dec 28-29, 2013
• Ying Jia, Beijun Shen, Tianyu Yu, Jiangang Zhu. An end-user oriented visual programming language. The 3rd International Conference on Computer Applications and Industrial Electronics, December. 2013
• Beijun Shen, Shixiong Zhao, Xin Shen, Rongbin Chen, Toward a Trust Evaluation Model for Shanghai E-Commerce Public Service Platform, 2013 IET/IEEE International Conference on Smart and Sustainable City, August 19~20, 2013, Shanghai, China
• Pinghai Qiu, Kai Lu, Dehua Ju, Beijun Shen, Internet of Knowledge: as an Infrastructure for Smart and Sustainable Marine Economy, 2013 IET/IEEE International Conference on Smart and Sustainable City, August 19~20, 2013, Shanghai, China
• Jing Li, Beijun Shen, Yu Zhang, Process Component Composition for Dynamic Process Adaptation and Lazy Binding, International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), Jan. 16~18, 2013, HongKong, China
• Fei Lu, Beijun Shen, Hanlong Zhang, Jiuchuan Lin, A Method of SNS Topic Models Extraction Based on Self-Adaptively LDA Modeling, International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), Jan. 16~18, 2013, HongKong, China
• Ben Xu, Beijun Shen, Weicheng Yang, Mining of Contribution Characteristics in Open Source Software Based on Visual Analysis, International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), Jan. 16~18, 2013, HongKong, China

• Jun Wang, Beijun Shen, Yuting Chen. Compressed C4.5 Models for Software Defect Prediction. In Proceedings of the 12th International Conference on Quality Software (QSIC'12). pp.13-16. [PDF]
• Beijun Shen, Dehua Ju. Knowledge Cloud as a Novel Environment for Engineering Education, 2012 International Conference on Engineering Education (CEE2012), 26-28 October, 2012, Beijing China
• Dehua Ju, Beijun Shen. Internet of Knowledge Plus Knowledge Cloud – A Future Education Ecosystem, International Conference on Future Computer Supported Education (FCSE), Korea, August 22-23, 2012
• Dehua Ju, Beijun Shen. Internet of Knowledge - The Soft Infrastructure for Smart Cities, 6th Shanghai International Library Forum, PP. 147-154, July 17-19, 2012, Shanghai, China, Shanghai Scientific and Technological Literature Publishing House
• Dehua Ju, Beijun Shen. Towards Internet of Knowledge, 8th China - Europe International Symposium on Software Engineering Education (CEISEE2012), PP. 41-44, 28-29 May 2012, Shanghai, China
• Hui Shi, Beijun Shen, Research on Applications of SaaS Technology, International Conference on Computer and Management (CAMAN'12), PP.109-112, March 9-11, Wuhan China
• Yi Xu, Beijun Shen, A Security Access Control Model based on Roles and Tokens, International Conference on Computer and Management (CAMAN 2012), PP.1205-1208, March 9-11, Wuhan China
• Menghan Chen, Beijun Shen, Towards agile application integration with M2M platforms, KSII Transactions on Internet and Information Systems, v6, n1, pp.84-97, 2012
• 居德华，沈备军. 知联网和知识云服务，第三届中国云计算学术大会，华中科技大学学报(自然科学版)，浙江丽水，9/15~17，2012

• 朱泽策，童燊嗣，沈备军，戚正伟，张涛，赵敏，面向Android安全性的Smali混淆代码分析，计算机工程与设计
• 沈备军，解读软件工程知识体系SWEBOK V3，PP.5-6,计算机教育，2014(7)
• 杨博，唐祝寿，朱浩谨，沈备军，林九川，基于静态数据流分析的Android应用权限检测方法，计算机科学，2013年40卷 第1期.
• 高云璐，沈备军，孔华锋，基于SLA与用户评价的云计算信任模型，计算机工程. 2012, 38(7)
• 张腾，沈备军，杨涛，使用DEB和XML签名的电子证据管理方法，计算机工程. 2012, 38(12)
• 居德华，沈备军. 支持海洋经济发展的知联网框架，浙江省公共政策内参，第12119期，2012.8

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