IntroductionDr. Ruilian is currently a Professor at College of Information Science and Technology, Beijing University of Chemical Technology. She got her Bachelor degree in Computer Science at North University of China. She obtained her PhD degree in Computer Science at the Institute of Computing Technology, Chinese Academy of Science in 2001. Since 2001, she has been engaged in teaching and research in the Department of Computer Science, School of Information Science and Technology, Beijing University of Chemical Technology. EducationWork ExperienceSocial PositionSocial ActivitiesResearchSoftware testing Software requirements engineeringTeachingUndergraduate Teaching Principle of Compiling Discrete mathematics Postgraduate Teaching Software Testing technology and Application PostgraduatesFundingThe National Natural Science Foundation of China: Research on the test suite generation for software security of Web application by Memetic evolutionary algorithm. Research on test generation of EFSM model with complex data types and procedure calls and analysis on key factors of test generation efficiency. Research on test data generation approach based on input domain analysis of specifications and programs. Vertical ProjectHorizontal ProjectPublications1. Ruilian Zhao; Shukai Zhang; Zhifan Zhu1;Ying Shang; Weiwei Wang;E2E test execution optimization for web application based on state reuse, Software Evolution and Process. 2024, DOI: 10.1002/smr.2714 2. Weiwei Wang; Shumei Wu; Zheng Li; Ruilian Zhao*; Parallel evolutionary test case generation for web applications, Information and Software Technology, 2023, 155: 107113. 3. Wang, Weiwei; Guo, Junxia; Li, Zheng; Zhao, Ruilian*; Behavior Model Construction for Client Side of Modern Web Applications, Tsinghua Science and Technology, 2021, 26(1): 112- 134. 4. Ruilian Zhao; Weiwei Wang; Yuqi Song; Zheng Li; Diversity-oriented test suite generation for EFSM model, IEEE Transactions on Reliability, 2020, 2020 (DOI:10.1109/TR.2020.) 5. Yong Liu, Zheng Li, Ruilian Zhao*, Pei Gong. “An optimal mutation execution strategy for cost reduction of mutation-based fault localization”, Information Sciences. Vol. 422, No 3, p572-596, 2018.
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