Associate Prof./Dr. Guo Junxia

Office Address

Science &Technology building 409#

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China



Research Interests

1. Software testing
2. Web user behavior analysis
3. Web information reuse
4. Big data analysis and modeling


・Ph.D. 2008~2011 Computer Science, Tokyo Institute of Technology
・Research Student 2007~2008 Computer Science, Tokyo Institute of Technology, Tokuda Laboratory
・M.E. 1999~2002 Computer Science, China University of Mining & Technology Beijing
・B.E. 1995~1999 Computer Science, Taiyuan University of Technology

Teaching Courses

1. Assembling Language
2. Fundamentals of Computer
3.Introduction to the Design and Analysis of Algorithms


1. National Science Foundation of China (No. 61702029). A Hybrid Evolutionary Approach of Heuristic Search Algorithms for Regression Test Suite Optimization (In Charge).
2. Sinopec Pipeline Storage & Transportation Co., Ltd. Research and Development of Performance Monitoring and Fault Diagnosis Technology for In-service Oil Pumping unit (In Charge).
3. Fundamental Research Funds for the Central Universities of China. Solution to the Comprehensive Reuse of Information Published in Web Applications (In Charge).
4. National Science Foundation of China (No.61672085). Research on the test suite generation for software security of Web application by Memetic evolutionary algorithm (Main Participant).


[1] Yimei Chen, Zheng Li, Ruilian Zhao and Junxia GUO. Research on Page Object Generation Method for Web Application Testing. 31th International Conference on Software Engineering & Knowledge Engineering (SEKE 2019), pp.44-48, 2019.
[2] Junxia GUO, Yingying Duan, Ying Shang. Multi-gene Genetic Programming Based Defect-Ranking Software Modules. NASAC 2017, NASAC 2018: Software Engineering and Methodology for Emerging Domains, pp.52-71, 2019.
[3] Bian Yi, Li Zheng,Guo Junxia and Ruilian Zhao. Concrete hyperheuristic framework for test case prioritization . Journal of Software-Evolution and Process, Vol.30(11), 2018.
[4] WeiWei Wang, Junxia GUO, Zheng Li and Ruilian Zhao. EFSM-Oriented Minimal Traces Set Generation Approach for Web Applications . IEEE, Computer Software and Applications Conference (Compsac2018), pp.12-21, 2018.
[5] Shuyao Sun, Junxia Guo, Ruilian Zhao and Zheng Li. Search-Based Efficient Automated Program Repair Using Mutation and Fault Localization. IEEE 42nd Annual Computer Software and Applications Conference (Compsac2018), pp.174-183, 2018.
[6] Junxia GUO, WeiWei Wang, Linjie Sun, Zheng Li and Ruilian Zhao. A Test Case Generation Method Based on State Importance of EFSM for Web Application. 30th International Conference on Software Engineering & Knowledge Engineering (SEKE 2018), pp.548-553, 2018.
[7] Junxia GUO, Hao HAN, Weijia ZENG and Gang LU. Interest Analysis Based-on Knowledge Websites through User-browsing-behavior . 3rd International Conference on Fuzzy Systems and Data Mining, pp.100−106, 2017.
[8] Su Ning, Guo Junxia, Li Zheng, Zhao Ruilian. EFSM Amorphous Slicing Based Test Case Generation. Journal of Computer Research and Development, Vol.54(3), pp.669-680, 2017.(in Chinese).
[9] Jingyao Geng, Zheng Li, Ruilian Zhao, Junxia Guo.Search Based Test Suite Minimization for Fault Detection and Localization: A Co-driven Method. 8th International Symposium on Search Based Software Engineering(SSBSE 2016),pp.34−48,2016.
[10] Ma Lu, Lu Gang, Guo Junxia.Observing the evolution of social network on Weibo by sampled data. 15th IEEE/ACIS International Conference on Computer and Information Science(ICIS 2016), June 26-29, Okayama, Japan,pp.1-5,2016.
[11] BIAN Yi, YUAN Fang, GUO Jun-Xia,LI Zheng, ZHAO Rui-Lian.CPU+GPU Heterogeneous Computing Orientated Multi-objective Test Case Prioritization. Journal of Software,Vol.27(4),pp.943−954,2016.(in Chinese).
[12] Junxia Guo,Hao Han, Cheng Gao, Takashi Nakayama and Keizo Oyama.Prediction of Query Satisfaction Based on CQA-Oriented Browsing Behaviors. 6th International Conference on Information Science and Applications(ICISA2015),pp.1005-1012,2015.
[13] Hao Han,Junxia Guo, Takashi Nakayama and Keizo Oyama.Towards Serving “Delicious” Information within Its Freshness Date. 24th International Conference on World Wide Web (WWW 2015),pp.41-42,2015.(Poster Paper)
[14] Huan Li, Gang Lu and Junxia Guo.Generating Null Models for Large-Scale Networks on GPU. International Industrial Informatics and Computer Engineering Conference (IIICEC 2015),pp.204-208,2015.
[15] Junxia Guo and Hao Han. A Method for Facilitating End-user Mashup Based on Description. International Journal of Web Engineering and Technology, Vol.9 No.2, pp.99-124, 2014.
[16] Junxia Guo and Hao Han. Analysis and Design of Programmatic Interfaces for Integration of Diverse Web Contents. Int'l Journal of Software Engineering and Knowledge Engineering, Vol.23(10), pp.1487-1511, 2013.
[17] Junxia Guo,Cheng Gao, Nanshan Xu, Gang Lu and Hao Han.Analyzing Query Trails and Satisfaction based on Browsing Behaviors. 10th Web Information System and Application Conference(WISA2013),pp.107-112,2013.
[18] Junxia Guo, Hao Han, and Takehiro Tokuda. Towards Flexible Mashup of Web Applications Based on Information Extraction and Transfer. The 11th International Conference on Web Information System Engineering (WISE 2010), pp.602-615, 2010, LNCS 6488.
[19] Junxia Guo, Prach Chaisatien, Hao Han, Tomoya Noro and Takehiro Tokuda.Partial Information Extraction Approach to Lightweight Integration on the Web. The 2nd International Workshop on Lightweight Composition on the Web (ComposableWeb 2010), pp.372-383, 2010, Springer LNCS 6385.
[20] Junxia Guo and Takehiro Tokuda. Description-Based Mashup of Web Applications. ICWE 2010 Doctoral Consortium, pp.545-549, 2010, Springer LNCS 6385.
[21] Hao Han, Junxia Guo, and Takehiro Tokuda. Deep Mashup: A Description-Based Framework for Lightweight Integration of Web Contents. The 19th International Conference on World Wide Web (WWW 2010), pp.1109-1110, 2010. (Poster Paper)
[22] Hao Han, Junxia Guo, and Takehiro Tokuda. Towards Flexible Integration of Any Parts from Any Web Applications for Personal Use. The 1st International Workshop on Lightweight Integration on the Web, pp.69-80, 2009.
[23] Junxia Guo, Hao Han, and Takehiro Tokuda. A New Partial Information Extraction Method for Personal Mashup Construction. The 19th European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2009), pp.157-170, 2009.
[24] 郭俊霞, 郭仁飞,许南山,赵瑞莲. 基于Session的Web应用软件EFSM模型构建方法研究. 计算机科学, Vol.45(4), pp.204-208, 214, 2018.
[25] 王少峰, 郭俊霞, 卢罡. 基于用户导向的异构网络语义预测算法研究. 计算机工程与应用, Vol.54(15), pp.152-159, 2018.
[26] 于悦,卢罡,郭俊霞.局部协同选择聚类的多视角社区发现研究. 计算机系统应用, Vol.27(01), pp.20-27,2018.
[27] 苏宁, 郭俊霞, 李征,赵瑞莲. 基于EFSM不定型切片测试用例自动生成的研究. 计算机研究与发展, Vol.54(3), pp.669-680, 2017.
[28] 马路,卢罡, 郭俊霞. 基于时变差别适应度的网络演化模型. 计算机工程, Vol.43(4),pp.94-99, 2017.
[29] 郭俊霞, 许文生, 卢罡. 基于用户浏览轨迹的商品推荐. 计算机科学, Vol.43(12), pp.223-228 , 2016.
[30] 吴俞伯, 郭俊霞, 李征,赵瑞莲. 基于并发程序数据竞争故障的变异策略. 计算机应用, Vol.36(11), pp.3170-3177,3195, 2016.
[31] 边毅,袁方, 郭俊霞, 李征,赵瑞莲.面向CPU+GPU异构计算的多目标测试用例优先排序. 软件学报,Vol.27(4),pp.943−954,2016.
[32] 龚沛, 耿楚瑶, 郭俊霞, 赵瑞莲.针对基于变异错误定位的一种动态变异执行策略. 计算机科学,Vol.43(2), pp.199-203, 2016.
[33] 李甜甜,卢罡,许南山,郭俊霞.基于k-core的大规模复杂网络压缩布局算法. 计算机工程,Vol.42(5),pp.308-312,2016.
[34] 李欢,卢罡,郭俊霞.基于GPU的大尺度网络零模型分组生成并行算法. 计算机工程与设计,Vol.37(1),pp.93-99,2016.
[35] 石存沣,李征, 郭俊霞,赵瑞莲.基于全同步对覆盖的线程调度序列生成方法. 计算机应用,Vol.35(7),pp.2004-2008,2015.
[36] 卢罡,徐勤良,许南山,郭俊霞.复杂网络松耦合分布式计算框架的设计与实现. 计算机工程,Vol.41(11),pp.73-76 ,2015.
[37] 李甜甜,卢罡,许南山,郭俊霞.基于GPU的大尺度网络布局显示. 计算机系统应用,Vol.24(12),pp.25-33,2015.
[38] 李欢,卢罡,郭俊霞.复杂网络零模型的量化评估. 计算机应用,Vol.35(6),pp.1560-1563,1572,2015.
[39] 郭俊霞, 高城, 许南山, 卢罡. 基于网页浏览日志的用户行为分析. 计算机科学, Vol.41(3), pp110-115, 2014.