Di Wu

According to our database, Di Wu authored at least 26 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-view learning based on product and process metrics for software defect prediction.

Ying Sun, Fei Wu, Di Wu, Xiao-Yuan Jing, Yanfei Sun

Appl. Intell., April, 2025

MITU: Locating relevant tutorial fragments of APIs with multi-source API knowledge.

Di Wu, Hongyu Zhang, Yang Feng, Zhenjiang Dong

J. Syst. Softw., 2025

2024

The future of API analytics.

Di Wu, Hongyu Zhang, Yang Feng, Zhenjiang Dong, Ying Sun

Autom. Softw. Eng., November, 2024

Automatic recognizing relevant fragments of APIs using API references.

Di Wu, Yang Feng, Hongyu Zhang, Baowen Xu

Autom. Softw. Eng., June, 2024

2023

Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries.

Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yang Feng, Haowen Chen, Yuming Zhou, Baowen Xu

ACM Trans. Softw. Eng. Methodol., September, 2023

Leveraging Stack Overflow to detect relevant tutorial fragments of APIs.

Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yuming Zhou, Baowen Xu

Empir. Softw. Eng., 2023

MoD2T: Model-Data-Driven Motion-Static Object Tracking Method.

Yang Feng, Liao Pan, Di Wu, Liu Bo, Xingle Zhang

CoRR, 2023

2022

How higher order mutant testing performs for deep learning models: A fine-grained evaluation of test effectiveness and efficiency improved from second-order mutant-classification tuples.

Yanhui Li, Weijun Shen, Tengchao Wu, Lin Chen, Di Wu, Yuming Zhou, Baowen Xu

Inf. Softw. Technol., 2022

An Empirical Study on the Impact of Python Dynamic Typing on the Project Maintenance.

Xinmeng Xia, Yanyan Yan, Xincheng He, Di Wu, Lei Xu, Baowen Xu

Int. J. Softw. Eng. Knowl. Eng., 2022

Training Data Debugging for the Fairness of Machine Learning Software.

Yanhui Li, Linghan Meng, Lin Chen, Li Yu, Di Wu, Yuming Zhou, Baowen Xu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

An Empirical Study on Heterogeneous Defect Prediction Approaches.

Haowen Chen, Xiao-Yuan Jing, Zhiqiang Li, Di Wu, Yi Peng, Zhiguo Huang

IEEE Trans. Software Eng., 2021

Similarity-Maintaining Privacy Preservation and Location-Aware Low-Rank Matrix Factorization for QoS Prediction Based Web Service Recommendation.

Xiaoke Zhu, Xiao-Yuan Jing, Di Wu, Zhenyu He, Jicheng Cao, Dong Yue, Lina Wang

IEEE Trans. Serv. Comput., 2021

Boundary sampling to boost mutation testing for deep learning models.

Weijun Shen, Yanhui Li, Yuanlei Han, Lin Chen, Di Wu, Yuming Zhou, Baowen Xu

Inf. Softw. Technol., 2021

Recommending Relevant Tutorial Fragments for API-Related Natural Language Questions.

Di Wu, Xiao-Yuan Jing, Haowen Chen, Xiaohui Kong, Jifeng Xuan

Int. J. Softw. Eng. Knowl. Eng., 2021

Generating API tags for tutorial fragments from Stack Overflow.

Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Bing Li, Yu Xie, Baowen Xu

Empir. Softw. Eng., 2021

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models.

Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di Wu, Yuming Zhou, Baowen Xu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Data-driven approach to application programming interface documentation mining: A review.

Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Xiaohui Kong, Yu Xie, Zhiguo Huang

WIREs Data Mining Knowl. Discov., 2020

How C++ Templates Are Used for Generic Programming: An Empirical Study on 50 Open Source Systems.

Lin Chen, Di Wu, Wanwangying Ma, Yuming Zhou, Baowen Xu, Hareton Leung

ACM Trans. Softw. Eng. Methodol., 2020

2018

Automatically answering API-related questions.

Di Wu, Xiao-Yuan Jing, Haowen Chen, Xiaoke Zhu, Hongyu Zhang, Mei Zuo, Lu Zi, Chen Zhu

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification.

Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An extensive empirical study on C++ concurrency constructs.

Di Wu, Lin Chen, Yuming Zhou, Baowen Xu

Inf. Softw. Technol., 2016

2015

A metrics-based comparative study on object-oriented programming languages.

Di Wu, Lin Chen, Yuming Zhou, Baowen Xu

Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

How do developers use C++ libraries? An empirical study.

Di Wu, Lin Chen, Yuming Zhou, Baowen Xu

Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

An Empirical Study on C++ Concurrency Constructs.

Di Wu, Lin Chen, Yuming Zhou, Baowen Xu

Proceedings of the 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2015

2014

An empirical study on the adoption of C++ templates: Library templates versus user defined templates.

Di Wu, Lin Chen, Yuming Zhou, Baowen Xu

Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

The Design of the SIMPLE Programming Language.

Di Wu, Lin Chen, Bin Yu, Baowen Xu

Proceedings of the 11th Web Information System and Application Conference, 2014