Xiang Chen

Orcid: 0000-0002-1180-3891

Affiliations:
  • Nantong University, School of Computer Science and Technology, China
  • Nanjing University, State Key Laboratory for Novel Software Technology, China (PhD 2011)


According to our database1, Xiang Chen authored at least 141 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Bash comment generation via data augmentation and semantic-aware CodeBERT.
Autom. Softw. Eng., June, 2024

An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria.
IEEE Trans. Software Eng., March, 2024

How Important Are Good Method Names in Neural Code Generation? A Model Robustness Perspective.
ACM Trans. Softw. Eng. Methodol., March, 2024

Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks.
J. Syst. Softw., January, 2024

Automatic smart contract comment generation via large language models and in-context learning.
Inf. Softw. Technol., 2024

2023
Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics.
J. Syst. Softw., December, 2023

VsusFL: Variable-suspiciousness-based Fault Localization for novice programs.
J. Syst. Softw., November, 2023

A syntax-guided multi-task learning approach for Turducken-style code generation.
Empir. Softw. Eng., November, 2023

GNet4FL: effective fault localization via graph convolutional neural network.
Autom. Softw. Eng., November, 2023

Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow.
IEEE Trans. Software Eng., September, 2023

CIDFuzz: Fuzz testing for continuous integration.
IET Softw., June, 2023

Exploring Better Black-Box Test Case Prioritization via Log Analysis.
ACM Trans. Softw. Eng. Methodol., May, 2023

CRMF: A fault localization approach based on class reduction and method call frequency.
Softw. Pract. Exp., April, 2023

SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation.
IEEE Trans. Reliab., March, 2023

A Token-based Compilation Error Categorization and Its Applications.
J. Softw. Evol. Process., February, 2023

Achieving High MAP-Coverage Through Pattern Constraint Reduction.
IEEE Trans. Software Eng., 2023

ExploitGen: Template-augmented exploit code generation based on CodeBERT.
J. Syst. Softw., 2023

TitleGen-FL: Quality prediction-based filter for automated issue title generation.
J. Syst. Softw., 2023

Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models.
CoRR, 2023

Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation.
CoRR, 2023

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation.
CoRR, 2023

ISTA: Automatic Test Case Generation and Optimization for Intelligent Systems based on Coverage Analysis.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Extended Abstract of SeCNN: A semantic CNN parser for code comment generation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

An Empirical Study of Adversarial Training in Code Comment Generation.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep Learning.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

QTC4SO: Automatic Question Title Completion for Stack Overflow.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

GMBFL: Optimizing Mutation-Based Fault Localization via Graph Representation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

TBCUP: A Transformer-based Code Comments Updating Approach.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Improving Fault Localization by Complex-Fault Oriented Higher-Order Mutant Generation.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction.
IEEE Trans. Software Eng., 2022

Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization.
IEEE Trans. Reliab., 2022

Can Higher-Order Mutants Improve the Performance of Mutation-Based Fault Localization?
IEEE Trans. Reliab., 2022

CCGIR: Information retrieval-based code comment generation method for smart contracts.
Knowl. Based Syst., 2022

Interpretability application of the Just-in-Time software defect prediction model.
J. Syst. Softw., 2022

DeltaFuzz: Historical Version Information Guided Fuzz Testing.
J. Comput. Sci. Technol., 2022

Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.
Inf. Softw. Technol., 2022

Deep Learning Test Optimization Method Using Multi-objective Optimization.
Int. J. Softw. Informatics, 2022

An Empirical Study on Higher-Order Mutation-Based Fault Localization.
Int. J. Softw. Eng. Knowl. Eng., 2022

Defect Identification, Categorization, and Repair: Better Together.
CoRR, 2022

Do we need to pay technical debt in blockchain software systems?
Connect. Sci., 2022

DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
Proceedings of the IEEE International Conference on Software Analysis, 2022

SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow.
Proceedings of the IEEE International Conference on Software Analysis, 2022

CIL-BSP: Bug Report Severity Prediction based on Class Imbalanced Learning.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

An Empirical Study on Numerical Bugs in Deep Learning Programs.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Improving the Performance of Mutation-based Fault Localization via Mutant Bias Practical Experience Report.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021
SEthesaurus: WordNet in Software Engineering.
IEEE Trans. Software Eng., 2021

A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification.
IEEE Trans. Reliab., 2021

SeCNN: A semantic CNN parser for code comment generation.
J. Syst. Softw., 2021

Improving high-impact bug report prediction with combination of interactive machine learning and active learning.
Inf. Softw. Technol., 2021

Laprob: A Label propagation-Based software bug localization method.
Inf. Softw. Technol., 2021

Revisiting heterogeneous defect prediction methods: How far are we?
Inf. Softw. Technol., 2021

Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction.
IET Softw., 2021

Evaluation indicators for open-source software: a review.
Cybersecur., 2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa.
CoRR, 2021

DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction.
CoRR, 2021

HOPE: Software Defect Prediction Model Construction Method via Homomorphic Encryption.
IEEE Access, 2021

Research Progress of Flaky Tests.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

A comprehensive study of deep learning compiler bugs.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa (S).
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Evaluating Code Summarization with Improved Correlation with Human Assessment.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Improving Blocking Bug Pair Prediction via Hybrid Deep Learning.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Data-driven based student programming competition award prediction via machine learning models.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Applying Faulty Statement Category Frequency to Localize Faults for Student Programs.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Optimization Model of Unmanned Aerial Vehicle Distribution Path with Integrated Loading and Unloading.
Proceedings of the Fuzzy Systems and Data Mining VII, 2021

Just-in-Time Defect Prediction Technology based on Interpretability Technology.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Fault Localization-Guided Test Data Generation Approach for Novice Programs.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

HMBFL: Higher-Order Mutation-Based Fault Localization.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

CLACER: A Deep Learning-based Compilation Error Classification Method for Novice Students' Programs.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

S<sup>2</sup> LMMD: Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods.
IEEE Trans. Reliab., 2020

Do different cross-project defect prediction methods identify the same defective modules?
J. Softw. Evol. Process., 2020

The impact factors on the performance of machine learning-based vulnerability detection: A comparative study.
J. Syst. Softw., 2020

CVE-assisted large-scale security bug report dataset construction method.
J. Syst. Softw., 2020

FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering.
J. Comput. Sci. Technol., 2020

LAL: Meta-Active Learning-based Software Defect Prediction.
Int. J. Perform. Eng., 2020

ALTRA: Cross-Project Software Defect Prediction via Active Learning and Tradaboost.
IEEE Access, 2020

IETCR: An Information Entropy Based Test Case Reduction Strategy for Mutation-Based Fault Localization.
IEEE Access, 2020

Empirical Evaluation on the Impact of Class Overlap for EEG-Based Early Epileptic Seizure Detection.
IEEE Access, 2020

Improving Software Fault Localization by Combining Spectrum and Mutation.
IEEE Access, 2020

Revisiting Dependence Cluster Metrics based Defect Prediction.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Improving Machine Learning-Based Code Smell Detection via Hyper-Parameter Optimization.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
Multitask defect prediction.
J. Softw. Evol. Process., 2019

An empirical study on pareto based multi-objective feature selection for software defect prediction.
J. Syst. Softw., 2019

DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy.
J. Comput. Sci. Technol., 2019

Improving defect prediction with deep forest.
Inf. Softw. Technol., 2019

Software defect number prediction: Unsupervised vs supervised methods.
Inf. Softw. Technol., 2019

Revisiting Heterogeneous Defect Prediction: How Far Are We?
CoRR, 2019

Detecting Defects Based on Mining and Confirming Programming Patterns From Different Versions of Projects.
IEEE Access, 2019

DeepCPDP: Deep Learning Based Cross-Project Defect Prediction.
IEEE Access, 2019

Multi-project Regression based Approach for Software Defect Number Prediction.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

MAP-Coverage: A Novel Coverage Criterion for Testing Thread-Safe Classes.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
A systematic survey on automated concurrency bug detection, exposing, avoidance, and fixing techniques.
Softw. Qual. J., 2018

Localizing multiple software faults based on evolution algorithm.
J. Syst. Softw., 2018

MULTI: Multi-objective effort-aware just-in-time software defect prediction.
Inf. Softw. Technol., 2018

Personalized project recommendation on GitHub.
Sci. China Inf. Sci., 2018

Software Defect Prediction Model Sharing Under Differential Privacy.
Proceedings of the 2018 IEEE SmartWorld, 2018

Mining Function Call Sequence Patterns Across Different Versions of the Project for Defect Detection.
Proceedings of the Software Analysis, Testing, and Evolution, 2018

Exploiting Spatiotemporal Features to Infer Friendship in Location-Based Social Networks.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

2017
A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction.
J. Comput. Sci. Technol., 2017

An Interactive Debugging Framework with Heuristic Graph.
Proceedings of the 2017 International Conference on Software Analysis, 2017

An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Scalable Relevant Project Recommendation on GitHub.
Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016
Empirical Studies of a Two-Stage Data Preprocessing Approach for Software Fault Prediction.
IEEE Trans. Reliab., 2016

2015
FECS: A Cluster Based Feature Selection Method for Software Fault Prediction with Noises.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

2014
HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices.
J. Syst. Softw., 2014

A Two-Stage Data Preprocessing Approach for Software Fault Prediction.
Proceedings of the Eighth International Conference on Software Security and Reliability, 2014

FECAR: A Feature Selection Framework for Software Defect Prediction.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2013
Remote Haptic Collaboration for Virtual Training of Lumbar Puncture.
J. Comput., 2013

Empirical studies on feature selection for software fault prediction.
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

2012
Factor Analysis for Influence Maximization Problem in Social Networks.
Proceedings of the 13th ACIS International Conference on Software Engineering, 2012

CATESR: Change-aware Test Suite Reduction Based on Partial Coverage of Test Requirements.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

2011
Using lattice of class and method dependence for change impact analysis of object oriented programs.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

A test suite reduction approach based on pairwise interaction of requirements.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

2010
A study of relative redundancy in test-suite reduction while retaining or improving fault-localization effectiveness.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

D-WAV: A Web Application Vulnerabilities Detection Tool Using Characteristics of Web Forms.
Proceedings of the Fifth International Conference on Software Engineering Advances, 2010

Applying Particle Swarm Optimization to Pairwise Testing.
Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

2009
Building Prioritized Pairwise Interaction Test Suites with Ant Colony Optimization.
Proceedings of the Ninth International Conference on Quality Software, 2009

Fault Localization Based on Multi-level Similarity of Execution Traces.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

Variable Strength Interaction Testing with an Ant Colony System Approach.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009


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