Xiang Chen
Orcid: 0000-0002-1180-3891Affiliations:
- 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 162 papers
between 2009 and 2025.
Collaborative distances:
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Bibliography
2025
Towards prompt tuning-based software vulnerability assessment with continual learning.
Comput. Secur., 2025
2024
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning.
Autom. Softw. Eng., November, 2024
Multi-objective optimization-based and fault localization-oriented test case generation for novice programs.
J. Softw. Evol. Process., October, 2024
Chain-of-Thought in Neural Code Generation: From and for Lightweight Language Models.
IEEE Trans. Software Eng., September, 2024
Empir. Softw. Eng., September, 2024
Softw. Test. Verification Reliab., June, 2024
Autom. Softw. Eng., June, 2024
Automatic bi-modal question title generation for Stack Overflow with prompt learning.
Empir. Softw. Eng., May, 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
Sci. Comput. Program., 2024
ISTA+: Test case generation and optimization for intelligent systems based on coverage analysis.
Sci. Comput. Program., 2024
Sci. Comput. Program., 2024
GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning.
J. Syst. Softw., 2024
J. Syst. Softw., 2024
CSVD-TF: Cross-project software vulnerability detection with TrAdaBoost by fusing expert metrics and semantic metrics.
J. Syst. Softw., 2024
Automatic smart contract comment generation via large language models and in-context learning.
Inf. Softw. Technol., 2024
SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation.
Inf. Softw. Technol., 2024
Making vulnerability prediction more practical: Prediction, categorization, and localization.
Inf. Softw. Technol., 2024
CoRR, 2024
CodeScore-R: An Automated Robustness Metric for Assessing the FunctionalCorrectness of Code Synthesis.
CoRR, 2024
Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
2023
Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics.
J. Syst. Softw., December, 2023
J. Syst. Softw., November, 2023
Empir. Softw. Eng., November, 2023
Autom. Softw. Eng., November, 2023
Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow.
IEEE Trans. Software Eng., September, 2023
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
IEEE Trans. Reliab., March, 2023
J. Softw. Evol. Process., February, 2023
IEEE Trans. Software Eng., 2023
J. Syst. Softw., 2023
J. Syst. Softw., 2023
Int. J. Softw. Informatics, 2023
Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?
CoRR, 2023
Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation.
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
Proceedings of the IEEE International Conference on Software Analysis, 2023
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
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
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
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
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
J. Syst. Softw., 2022
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
Int. J. Softw. Informatics, 2022
Int. J. Softw. Eng. Knowl. Eng., 2022
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the IEEE International Conference on Software Analysis, 2022
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
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
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022
2021
A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification.
IEEE Trans. Reliab., 2021
Improving high-impact bug report prediction with combination of interactive machine learning and active learning.
Inf. Softw. Technol., 2021
Inf. Softw. Technol., 2021
Inf. Softw. Technol., 2021
Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction.
IET Softw., 2021
CoRR, 2021
HOPE: Software Defect Prediction Model Construction Method via Homomorphic Encryption.
IEEE Access, 2021
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
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
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
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021
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
J. Syst. Softw., 2020
J. Comput. Sci. Technol., 2020
Int. J. Perform. Eng., 2020
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
IEEE Access, 2020
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
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
Inf. Softw. Technol., 2019
Detecting Defects Based on Mining and Confirming Programming Patterns From Different Versions of Projects.
IEEE Access, 2019
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
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
J. Syst. Softw., 2018
Inf. Softw. Technol., 2018
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
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
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
Proceedings of the Eighth International Conference on Software Security and Reliability, 2014
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014
2013
J. Comput., 2013
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013
2012
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
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
Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010
2009
Proceedings of the Ninth International Conference on Quality Software, 2009
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009