Chunrong Fang

Orcid: 0000-0002-9930-7111

Affiliations:
  • Nanjing University, China


According to our database1, Chunrong Fang authored at least 122 papers between 2012 and 2025.

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

Timeline

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Bibliography

2025
Machine Learning for Actionable Warning Identification: A Comprehensive Survey.
ACM Comput. Surv., February, 2025

2024
Benchmarking Object Detection Robustness against Real-World Corruptions.
Int. J. Comput. Vis., October, 2024

Esale: Enhancing Code-Summary Alignment Learning for Source Code Summarization.
IEEE Trans. Software Eng., August, 2024

Practical, Automated Scenario-Based Mobile App Testing.
IEEE Trans. Software Eng., July, 2024

A Survey of Source Code Search: A 3-Dimensional Perspective.
ACM Trans. Softw. Eng. Methodol., July, 2024

TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation.
IEEE Trans. Software Eng., June, 2024

Machine Translation Testing via Syntactic Tree Pruning.
ACM Trans. Softw. Eng. Methodol., June, 2024

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation.
IEEE Trans. Software Eng., April, 2024

APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models.
IEEE Trans. Software Eng., March, 2024

An Extractive-and-Abstractive Framework for Source Code Summarization.
ACM Trans. Softw. Eng. Methodol., March, 2024

A Survey of Learning-based Automated Program Repair.
ACM Trans. Softw. Eng. Methodol., February, 2024

Generation-based Differential Fuzzing for Deep Learning Libraries.
ACM Trans. Softw. Eng. Methodol., February, 2024

Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?
IEEE Trans. Dependable Secur. Comput., 2024

Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules.
Proc. ACM Softw. Eng., 2024

Security of Language Models for Code: A Systematic Literature Review.
CoRR, 2024

Demonstration Attack against In-Context Learning for Code Intelligence.
CoRR, 2024

Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment.
CoRR, 2024

zsLLMCode: An Effective Approach for Functional Code Embedding via LLM with Zero-Shot Learning.
CoRR, 2024

SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
CoRR, 2024

No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair.
CoRR, 2024

Better Debugging: Combining Static Analysis and LLMs for Explainable Crashing Fault Localization.
CoRR, 2024

Eliminating Backdoors in Neural Code Models via Trigger Inversion.
CoRR, 2024

TestART: Improving LLM-based Unit Test via Co-evolution of Automated Generation and Repair Iteration.
CoRR, 2024

Source Code Summarization in the Era of Large Language Models.
CoRR, 2024

Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders.
CoRR, 2024

A Systematic Literature Review on Large Language Models for Automated Program Repair.
CoRR, 2024

On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder.
CoRR, 2024

Pre-trained Model-based Actionable Warning Identification: A Feasibility Study.
CoRR, 2024

Improving actionable warning identification via the refined warning-inducing context representation.
Sci. China Inf. Sci., 2024

CooTest: An Automated Testing Approach for V2X Communication Systems.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Towards General Robustness Verification of MaxPool-Based Convolutional Neural Networks via Tightening Linear Approximation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
An Empirical Study of Class Rebalancing Methods for Actionable Warning Identification.
IEEE Trans. Reliab., December, 2023

Security-based code smell definition, detection, and impact quantification in Android.
Softw. Pract. Exp., November, 2023

Iterative Android automated testing.
Frontiers Comput. Sci., October, 2023

An unsupervised feature selection approach for actionable warning identification.
Expert Syst. Appl., October, 2023

Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding.
IEEE Trans. Software Eng., August, 2023

Deep learning framework testing via hierarchical and heuristic model generation.
J. Syst. Softw., July, 2023

Leveraging Android Automated Testing to Assist Crowdsourced Testing.
IEEE Trans. Software Eng., April, 2023

Test Report Generation for Android App Testing Via Heterogeneous Data Analysis.
IEEE Trans. Software Eng., 2023

A Prompt Learning Framework for Source Code Summarization.
CoRR, 2023

A Survey on Large Language Models for Software Engineering.
CoRR, 2023

Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?
CoRR, 2023

Vision-Based Mobile App GUI Testing: A Survey.
CoRR, 2023

A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.
CoRR, 2023

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics.
CoRR, 2023

Automatic Code Summarization via ChatGPT: How Far Are We?
CoRR, 2023

Boosting Automated Patch Correctness Prediction via Pre-trained Language Model.
CoRR, 2023

LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Integrating Extractive and Abstractive Models for Code Comment Generation.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Abstract Syntax Tree for Method Name Prediction: How Far Are We?
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

OATGA: Optimizing Adversarial Training via Genetic Algorithm for Automatic Modulation Classification.
Proceedings of the IEEE Global Communications Conference, 2023

DiPri: Distance-Based Seed Prioritization for Greybox Fuzzing (Registered Report).
Proceedings of the 2nd International Fuzzing Workshop, 2023

Towards Effective Bug Reproduction for Mobile Applications.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

Backdooring Neural Code Search.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Test case prioritization using partial attention.
J. Syst. Softw., 2022

Classifying crowdsourced mobile test reports with image features: An empirical study.
J. Syst. Softw., 2022

Test case recommendation based on balanced distance of test targets.
Inf. Softw. Technol., 2022

Locality-based security bug report identification via active learning.
Inf. Softw. Technol., 2022

Certifying Robustness of Convolutional Neural Networks with Tight Linear Approximation.
CoRR, 2022

Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding.
CoRR, 2022

Test Case Prioritization Using Partial Attention.
CoRR, 2022

An Extractive-and-Abstractive Framework for Source Code Summarization.
CoRR, 2022

Program Repair: Automated vs. Manual.
CoRR, 2022

RULER: discriminative and iterative adversarial training for deep neural network fairness.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

ElecDaug: Electromagnetic Data Augmentation for Model Repair based on Metamorphic Relation.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

UniRLTest: universal platform-independent testing with reinforcement learning via image understanding.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

CIRCLE: continual repair across programming languages.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Investigating Coverage Guided Fuzzing with Mutation Testing.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

Code Search based on Context-aware Code Translation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021
Duo: Differential Fuzzing for Deep Learning Operators.
IEEE Trans. Reliab., 2021

BLESER: Bug Localization Based on Enhanced Semantic Retrieval.
CoRR, 2021

Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis.
CoRR, 2021

Automated Mobile App Test Script Intent Generation via Image and Code Understanding.
CoRR, 2021

An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm.
Computer, 2021

Predoo: precision testing of deep learning operators.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

TauMed: test augmentation of deep learning in medical diagnosis.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Graph-based Fuzz Testing for Deep Learning Inference Engines.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
A Revisit of Metrics for Test Case Prioritization Problems.
Int. J. Softw. Eng. Knowl. Eng., 2020

Graph-Based Fuzz Testing for Deep Learning Inference Engine.
CoRR, 2020

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.
CoRR, 2020

Quality assessment of crowdsourced test cases.
Sci. China Inf. Sci., 2020

A Systematic Literature Review of Android Malware Detection Using Static Analysis.
IEEE Access, 2020

C2S: translating natural language comments to formal program specifications.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Incorporating Android Code Smells into Java Static Code Metrics for Security Risk Prediction of Android Applications.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

HomoTR: Online Test Recommendation System Based on Homologous Code Matching.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

STIFA: Crowdsourced Mobile Testing Report Selection Based on Text and Image Fusion Analysis.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Functional code clone detection with syntax and semantics fusion learning.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

FuRong: fusing report of automated Android testing on multi-devices.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Accuracy Measurement of Deep Neural Network Accelerator via Metamorphic Testing.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2020

2019
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost.
CoRR, 2019

AMDroid: Android Malware Detection Using Function Call Graphs.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

CoCoTest: collaborative crowdsourced testing for Android applications.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Variable Strength Combinatorial Testing for Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Software Testing, 2019

DeepPath: Path-Driven Testing Criteria for Deep Neural Networks.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018
An Empirical Study on Software Failure Classification with Multi-label and Problem-Transformation Techniques.
Proceedings of the 11th IEEE International Conference on Software Testing, 2018

2017
Exploring the Influence of Feature Selection Techniques on Bug Report Prioritization.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Predicate Interpretation Analysis Based on Soot.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Fault Interference and Coupling Effect.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016
Measuring the Diversity of a Test Set With Distance Entropy.
IEEE Trans. Reliab., 2016

An Automated Testing Platform for Mobile Applications.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

Automated Evaluation for Performance Test Scripts.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

Multi-objective test report prioritization using image understanding.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Guiding the crowds for Android testing.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Test report prioritization to assist crowdsourced testing.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Pushing the limits on automation in GUI regression testing.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

2014
Similarity-based test case prioritization using ordered sequences of program entities.
Softw. Qual. J., 2014

Testing as an Investment.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

Hybrid test data generation.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
A Hybrid Coverage Criterion for DynamicWeb Testing (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Multi-objective test case prioritization for GUI applications.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Comparing logic coverage criteria on test case prioritization.
Sci. China Inf. Sci., 2012

Test case prioritization incorporating ordered sequence of program elements.
Proceedings of the 7th International Workshop on Automation of Software Test, 2012


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