Jianming Chang

Orcid: 0000-0002-0052-6198

According to our database1, Jianming Chang authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models.
IEEE Trans. Software Eng., April, 2026

2025
SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents.
CoRR, July, 2025

HCIA: Hierarchical Change Impact Analysis Based on Hierarchy Program Slices.
Int. J. Softw. Eng. Knowl. Eng., February, 2025

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.
CoRR, February, 2025

"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Towards Task-Harmonious Vulnerability Assessment Based on LLM.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

2024
Graph-Based Salient Class Classification in Commits.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

OTCP-ISVM: Online Test Case Prioritization Based on Incremental Support Vector Machine.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023
Commit Classification via Diff-Code GCN based on System Dependency Graph.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

ECIA: Elaborate Change Impact Analysis Based on Sub-Statement Level Dependency Graph.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

2021
Experience report: investigating bug fixes in machine learning frameworks/libraries.
Frontiers Comput. Sci., 2021


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