Jinfu Chen

Orcid: 0000-0001-7410-9146

Affiliations:
  • Huawei Technologies, Canada
  • Concordia University, Department of Computer Science and Software Engineering, Montreal, Canada (former)


According to our database1, Jinfu Chen authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Reducing the Length of Field-Replay Based Load Testing.
IEEE Trans. Software Eng., August, 2024

Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction.
IEEE Trans. Software Eng., February, 2024

Vulnerabilities of Data Protection in Vertical Federated Learning Training and Countermeasures.
IEEE Trans. Inf. Forensics Secur., 2024

A Study of Code Clone on Open Source VR Software.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

2023
STRE: An Automated Approach to Suggesting App Developers When to Stop Reading Reviews.
IEEE Trans. Software Eng., August, 2023

IoPV: On Inconsistent Option Performance Variations.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CoLeFunDa: Explainable Silent Vulnerability Fix Identification.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

An Empirical Comparison on the Results of Different Clone Detection Setups for C-based Projects.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022
Locating Performance Regression Root Causes in the Field Operations of Web-Based Systems: An Experience Report.
IEEE Trans. Software Eng., 2022

PerfJIT: Test-Level Just-in-Time Prediction for Performance Regression Introducing Commits.
IEEE Trans. Software Eng., 2022

2021
DeepMemory: Model-based Memorization Analysis of Deep Neural Language Models.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Using black-box performance models to detect performance regressions under varying workloads: an empirical study.
Empir. Softw. Eng., 2020

Towards the use of the readily available tests from the release pipeline as performance tests: are we there yet?
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Performance regression detection in DevOps.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019
Studying the characteristics of logging practices in mobile apps: a case study on F-Droid.
Empir. Softw. Eng., 2019

An Experience Report of Generating Load Tests Using Log-Recovered Workloads at Varying Granularities of User Behaviour.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2017
An Exploratory Study of Performance Regression Introducing Code Changes.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017


  Loading...