Wenhua Yang (杨文华)

About Me

I am an Associate Professor at the College of Computer Science and Technology of Nanjing University of Aeronautics and Astronautics (NUAA). Prior to joining NUAA, I earned my Ph.D. in Computer Science and Technology from Nanjing University in 2017, under the supervision of Cheung Kong Scholar Chair Professor Chang Xu. During my doctoral studies, I had the privilege of being a member of two research groups: the Institute of Computer Software led by CAS Academician Jian Lü at Nanjing University and the CASTLE Lab led by IEEE Fellow S.C. Cheung at the Hong Kong University of Science and Technology.

Please feel free to reach out to me either via email at ywh@nuaa.edu.cn or by visiting my office at Room 16-424 in NUAA Jiangjun Rd. Campus.

Research Interests

My research interests primarily focus on software design and development, including but not limited to:

• Adaptive Software Systems Design & Construction: This involves to the creation of adaptive software systems and cyber-physical systems, placing emphasis on verification and validation to ensure the quality of the systems developed.
• Software Development in Collaborative Scenarios: This targets the understanding and enhancement of mechanisms and behavioral characteristics involved in software development within collaborative, open-source, and crowdsourced scenarios.
• Intelligent Software Development: This relates the integration of intelligence into solutions for software engineering problems, aiming to boost development efficiency through the amalgamation of AI and software engineering methods.

To prospective students: I am recruiting devoted postgraduate students to do research in the above-mentioned areas. Interested undergraduate students are also encouraged to contact me, to work on related topics.

Selected Publications

More on DBLP and Google Scholar

• Chaochao Shen, Wenhua Yang, Haitao Jia, Minxue Pan, and Yu Zhou. Richen: Automated Enrichment of Git Documentation with Usage Examples and Scenarios. Journal of Software: Evolution and Process (JSEP), forthcoming. [CCF B]
• Shaoheng Cao, Minxue Pan, Yu Pei, Wenhua Yang, Tian Zhang, Linzhang Wang, and Xuandong Li. Comprehensive Semantic Repair of Obsolete GUI Test Scripts for Mobile Applications. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), forthcoming. [CCF A]
• Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, and Taolue Chen. How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective. ACM Transactions on Software Engineering and Methodology (TOSEM), forthcoming. [CCF A]
• Yaxin Zhao, Lina Gong, Wenhua Yang, and Yu Zhou. How accessibility affects other quality attributes of software? A case study of GitHub. Science of Computer Programming (SCP), Vol. 231: 103027, 2024. [CCF B]
• Yuanhong Lan, Yifei Lu, Zhong Li, Minxue Pan, Wenhua Yang, Tian Zhang, and Xuandong Li. Deeply Reinforcing Android GUI Testing with Deep Reinforcement Learning. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), forthcoming. [CCF A]
• Wenhua Yang, Chong Zhang, and Minxue Pan. Understanding the Topics and Challenges of GPU Programming by Classifying and Analyzing Stack Overflow Posts. In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), pp. 1444–1456, San Francisco, California, USA, Dec 2023. [CCF A]
• Yingying He, Wenhua Yang, Minxue Pan, Yasir Hussain, and Yu Zhou. Understanding and Enhancing Issue Prioritization in GitHub. In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), pp. 813-824, Luxembourg, Sept 2023. [CCF A]
• Pengcheng Liu, Yifei Lu, Wenhua Yang, and Minxue Pan. VALAR: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning. In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023 Industry Challenge), pp. 1940-1951, Luxembourg, Sept 2023. [CCF A]
• Haitao Jia, Wenhua Yang, Chaochao Shen, Minxue Pan, and Yu Zhou. Git Command Recommendations Using Crowd-Sourced Knowledge. Information and Software Technology (IST), Vol. 159, 107199, July 2023. [CCF B]
• Wenhua Yang, Chang Xu, Minxue Pan, Yu Zhou, and Zhiqiu Huang. ENSURE: Towards Reliable Control of Cyber-Physical Systems under Uncertainty. IEEE Transactions on Reliability (TRel), vol. 72, no. 1, pp. 289-301, March 2023. [JCR Q1]
• Yu Zhou, Juanjuan Shen, Xiaoqing Zhang, Wenhua Yang, Tingting Han, and Taolue Chen. Automatic source code summarization with graph attention networks. The Journal of Systems and Software (JSS), Vol. 188, 111257, 2022. [CCF B]
• Wenhua Yang, Chong Zhang, Minxue Pan, Chang Xu, Yu Zhou, and Zhiqiu Huang. Do Developers Really Know How to Use Git Commands? A Large-Scale Study Using Stack Overflow. ACM Transactions on Software Engineering and Methodology (TOSEM), Article 44, 29 pages, July 2022. [CCF A]
• Wenhua Yang, Minxue Pan, Yu Zhou, and Zhiqiu Huang. Meaningful Update and Repair of Markov Decision Processes for Self-Adaptive Systems. Journal of Computer Science and Technology (JCST), Vol. 37(1), pp. 106-127, Oct 2021. [CCF B]
• Wenhua Yang, Minxue Pan, Yu Zhou, and Zhiqiu Huang. Developer Portraying: A Quick Approach to Understanding Developers on OSS Platforms. Information and Software Technology (IST), Vol. 125, 106336, Sept 2020. [CCF B]
• Yu Zhou, Xin Yan, Wenhua Yang, Taolue Chen and Zhiqiu Huang. Augmenting Java method comments generation with context information based on neural networks. The Journal of Systems and Software (JSS), Vol. 156, pp. 328-340, Oct 2019. [CCF B]
• Wenhua Yang, Chang Xu, Minxue Pan, Chun Cao, Xiaoxing Ma, and Jian Lu. Efficient Validation of Self-adaptive Applications by Counterexample Probability Maximization. The Journal of Systems and Software (JSS), Vol. 138, pp. 82-99, Apr 2018. [CCF B]
• Wenhua Yang, Chang Xu, Minxue Pan, Xiaoxing Ma, and Jian Lu. Improving Verification Accuracy of CPS by Modeling and Calibrating Interaction Uncertainty. ACM Transactions on Internet Technology (TOIT), Vol. 18, No. 2, Article 20, pp. 1-37, Jan 2018. [CCF B]
• Wang Xi, Chang Xu, Wenhua Yang, Xiaoxing Ma, Ping Yu, and Jian Lu. Suppressing Detection of Inconsistency Hazards by Pattern Learning. Information and Software Technology (IST), Vol. 74, pp. 219-229, Jun 2016. [CCF B]
• Wenhua Yang, Yepang Liu, Chang Xu, and S.C. Cheung. A Survey on Dependability Improvement Techniques for Pervasive Computing Systems. Science China Information Sciences (SCIS), Vol. 58, No. 5, Article 052102, pp. 1-14, May 2015. [CCF A]
• Wang Xi, Chang Xu, Wenhua Yang, Ping Yu, Xiaoxing Ma, and Jian Lu. SHAP: Suppressing the Detection of Inconsistency Hazards by Pattern Learning. In Proceedings of the 21st Asia-Pacific Software Engineering Conference (APSEC 2014), pp. 414-421, Jeju, Korea, Dec 2014. [Best Paper Award]
• Wenhua Yang, Chang Xu, Yepang Liu, Chun Cao, Xiaoxing Ma, and Jian Lu. Verifying Self-adaptive Applications Suffering Uncertainty. In Proceedings of the 29th IEEE/ACM International Conference on Automated Software Engineering (ASE 2014), pp. 199-209, Vasteras, Sweden, Sept 2014. [CCF A]
• Wenhua Yang, Chang Xu, and Linghao Zhang. IDEA: Improving Dependability for Self-Adaptive Applications. In Proceedings of the ACM/IFIP/USENIX International Middleware Conference (MIDDLEWARE 2013 Doctoral Symposium), Article 1, pp. 1-6, Beijing, China, Dec 2013. [CCF B]
• Chang Xu, Wenhua Yang, Xiaoxing Ma, Chun Cao, and Jian Lu. Environment Rematching: Toward Dependability Improvement for Self-Adaptive Applications. In Proceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering (ASE 2013), pp. 592-597, Silicon Valley, California, USA, Nov 2013. [CCF A]

Academic services

Program committee member:

• Please consider submitting a paper to ASE 2024.
• SEAMS 2024, Runtime verification 2023, Runtime verification 2022, Chinasoft 2020.

Organizing committee member:

• SEAMS 2024 publicity chair, SETTA 2023 local organizing committee.

Reviewer:

• Information and Software Technology (IST), Software and Systems Modeling (SoSyM), Journal of Software: Evolution and Process (JSEP), Software Testing, Verification and Reliability (STVR), Journal of Computer Science and Technology (JCST), International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Frontiers of Computer Science (FCS), Journal of Software (JoS).

Teaching

• Compiler Technology: Fall 2023, Fall 2022, Fall 2021, Fall 2020, and Fall 2019 at NUAA for undergraduate students.
• Software Quality Analysis and Measurement: Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, and Spring 2019 at NUAA for graduate students.