Ming Wen

Orcid: 0000-0001-5588-9618

Affiliations:
  • Huazhong University of Science and Technology, School of Cyber Science and Engineering, Wuhan, China
  • Hong Kong University of Science and Technology, Hong Kong (PhD 2019)


According to our database1, Ming Wen authored at least 71 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Fusing Code Searchers.
IEEE Trans. Software Eng., July, 2024

Reducing False Positives of Static Bug Detectors Through Code Representation Learning.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Pre-implementation Method Name Prediction for Object-oriented Programming.
ACM Trans. Softw. Eng. Methodol., November, 2023

Evaluating seed selection for fuzzing JavaScript engines.
Empir. Softw. Eng., November, 2023

Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network.
Proc. ACM Program. Lang., October, 2023

Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding.
ACM Trans. Softw. Eng. Methodol., September, 2023

Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications.
ACM Trans. Softw. Eng. Methodol., September, 2023

COMET: Coverage-guided Model Generation For Deep Learning Library Testing.
ACM Trans. Softw. Eng. Methodol., September, 2023

Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis.
IEEE Trans. Software Eng., April, 2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.
CoRR, 2023

A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair.
CoRR, 2023

A Large-Scale Empirical Review of Patch Correctness Checking Approaches.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Natural Language to Code: How Far Are We?
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Extensive Study on Adversarial Attack against Pre-trained Models of Code.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Testing Coreference Resolution Systems without Labeled Test Sets.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

SMT Solver Validation Empowered by Large Pre-Trained Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Effective Concurrency Testing for Go via Directional Primitive-Constrained Interleaving Exploration.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

ConfFix: Repairing Configuration Compatibility Issues in Android Apps.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Comparing the Performance of Different Code Representations for Learning-based Vulnerability Detection.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Will Dependency Conflicts Affect My Program's Semantics?
IEEE Trans. Software Eng., 2022

Aroc: An Automatic Repair Framework for On-Chain Smart Contracts.
IEEE Trans. Software Eng., 2022

Context-Aware Code Change Embedding for Better Patch Correctness Assessment.
ACM Trans. Softw. Eng. Methodol., 2022

SemMT: A Semantic-Based Testing Approach for Machine Translation Systems.
ACM Trans. Softw. Eng. Methodol., 2022

Demystifying Ethereum account diversity: observations, models and analysis.
Frontiers Comput. Sci., 2022

MEMO: Coverage-guided Model Generation For Deep Learning Library Testing.
CoRR, 2022

Attention: Not Just Another Dataset for Patch-Correctness Checking.
CoRR, 2022

Isolating Compiler Optimization Faults via Differentiating Finer-grained Options.
Proceedings of the IEEE International Conference on Software Analysis, 2022

DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Historical Spectrum Based Fault Localization.
IEEE Trans. Software Eng., 2021

To what extent do DNN-based image classification models make unreliable inferences?
Empir. Softw. Eng., 2021

Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network.
CoRR, 2021

Understanding and Facilitating the Co-Evolution of Production and Test Code.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Lightweight global and local contexts guided method name recommendation with prior knowledge.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Why Do Developers Remove Lambda Expressions in Java?
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Characterizing and Detecting Configuration Compatibility Issues in Android Apps.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

How Well Do Change Sequences Predict Defects? Sequence Learning from Software Changes.
IEEE Trans. Software Eng., 2020

SemMT: A Semantic-based Testing Approach for Machine Translation Systems.
CoRR, 2020

How Do Python Framework APIs Evolve? An Exploratory Study.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

MockSniffer: Characterizing and Recommending Mocking Decisions for Unit Tests.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Automated Patch Correctness Assessment: How Far are We?
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

An Exploratory Study of Bugs in Extended Reality Applications on the Web.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Boosting automated program repair with bug-inducing commits.
Proceedings of the ICSE-NIER 2020: 42nd International Conference on Software Engineering, New Ideas and Emerging Results, Seoul, South Korea, 27 June, 2020

Watchman: monitoring dependency conflicts for Python library ecosystem.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

EvalDNN: a toolbox for evaluating deep neural network models.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Understanding the Non-Repairability Factors of Automated Program Repair Techniques.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations.
CoRR, 2019

Exploring and exploiting the correlations between bug-inducing and bug-fixing commits.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Exposing library API misuses via mutation analysis.
Proceedings of the 41st International Conference on Software Engineering, 2019

Could I have a stack trace to examine the dependency conflict issue?
Proceedings of the 41st International Conference on Software Engineering, 2019

How Different Is It Between Machine-Generated and Developer-Provided Patches? : An Empirical Study on the Correct Patches Generated by Automated Program Repair Techniques.
Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques.
Proceedings of the Evaluation and Assessment on Software Engineering, 2019

2018
ChangeLocator: locate crash-inducing changes based on crash reports.
Empir. Softw. Eng., 2018

Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques.
CoRR, 2018

Do the dependency conflicts in my project matter?
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Context-aware patch generation for better automated program repair.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
An Empirical Analysis of the Influence of Fault Space on Search-Based Automated Program Repair.
CoRR, 2017

2016
Locus: locating bugs from software changes.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

2014
An empirical study of bug report field reassignment.
Proceedings of the 2014 Software Evolution Week, 2014


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