Selected Publications

Textbook（教材）

1. 软件测试（慕课版）（第二版）。
   郑炜，李宁，陈翔，吴潇雪
   人民邮电出版社。2022。
   普通高等教育软件工程十三五规划教材、工业和信息化部十四五规划教材、陕西省2022年职业教育和高等教育优秀教材（研究生教育类）
   欢迎国内同行选用作为软件测试课程的教材，购买链接：[人民邮电出版社] [京东] [当当]

International Journal

1. [TSE] An Empirical Study on Correlations between Deep Neural Network Fairness and Neuron Coverage Criteria.
   Wei Zheng, Lidan Lin, Xiaoxue Wu, Xiang Chen.
   IEEE Transactions on Software Engineering. 2024. (CCF A)
   [Link]

2. [IST] Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning.
   Junjie Zhao, Xiang Chen*, Guang Yang, Yiheng Shen
   Information and Software Technology. 2024. (CCF B)
   [Link]

3. [STVR] Delta4Ms: Improving Mutation-based Fault Localization by Eliminating Mutant Bias .
   Hengyuan Li, Zheng Li, Baolong Han, Yangtao Liu, Xiang Chen, Yong Liu
   Software Testing, Verification and Reliability. 2024. (CCF B)
   [Link]

4. [SCP] CrossFuzz: Cross-Contract Fuzzing for Detecting Smart Contract Vulnerabilities .
   Huiwen Yang, Xiguo Gu, Xiang Chen, Liwei Zheng, Zhanqi Cui
   Science of Computer Programming. 2024. (CCF B)
   [Link]

5. [SCP] ISTA+: Test Case Generation and Optimization for Intelligent Systems Based on Coverage Analysis .
   Xiaoxue Wu, Yizeng Gu, Lidan Lin, Wei Zheng, Xiang Chen
   Science of Computer Programming. 2024. (CCF B)
   [Link]

6. [TOSEM] How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective.
   Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, Taolue Chen
   ACM Transactions on Software Engineering and Methodology. 2023. (CCF A)
   [Link]

7. [JSS] Boosting Multi-objective Just-in-time Software Defect Prediction by Fusing Expert Metrics and Semantic Metrics.
   Xiang Chen, Hongling Xia, Wenlong Pei, Chao Ni, Ke Liu
   Journal of Systems and Software. 2023. (CCF B)
   [Link]

8. [JSS] VsusFL: Variable-suspiciousness-based Fault Localization for Novice Programs.
   Zheng Li, Shumei Wu, Yong Liu, Jitao Shen, Yonghao Wu, Zhanwen Zhang, Xiang Chen
   Journal of Systems and Software. 2023. (CCF B)
   [Link]

9. [JSS] Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks.
   Yubin Qu, Song Huang, Xiang Chen, Xingya Wang, Yongming Yao
   Journal of Systems and Software. 2023. (CCF B)
   [Link]

10. [EMSE] A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation.
    Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Yiran Xu, Tingting Han, Taolue Chen
    Empirical Software Engineering. 2023. (CCF B)
    [Link]

11. [TSE] Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow.
    Ke Liu, Xiang Chen*, Chunyang Chen, Xiaofei Xie, Zhanqi Cui
    IEEE Transactions on Software Engineering. 2023. (CCF A)
    [Link]

12. [TOSEM] Exploring Better Black-Box Test Case Prioritization via Log Analysis.
    Zhichao Chen, Junjie Chen, Weijing Wang, Jianyi Zhou, Meng Wang, Xiang Chen, Shan Zhou, Jianmin Wang
    ACM Transactions on Software Engineering and Methodology. 2023, 32(3): 71. (CCF A)
    [Link]

13. [TSE] Achieving High MAP-Coverage through Pattern Constraint Reduction.
    Yingquan Zhao, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen, Xiang Chen
    IEEE Transactions on Software Engineering. 2023, 49(1): 99-112. (CCF A)
    [Link]

14. [IETS] CIDFuzz: Fuzz Testing for Continuous Integration.
    Jiaming Zhang, Zhanqi Cui, Xiang Chen, Huiwen Yang, Liwei Zheng, Jianbin Liu
    IET Software. 2023, 17(3):301-315. (CCF B)
    [Link]

15. [ASEJ] GNet4FL: Effective Fault Localization via Graph Convolutional Neural Network.
    Jie Qian, Xiaolin Ju, Xiang Chen
    Automated Software Engineering. 2023, 30(2): 16. (CCF B)
    [Link]

16. [SPE] CRMF: A Fault Localization Approach based on Class Reduction and Method Call Frequency.
    Hengyuan Liu, Zheng Li, Haifeng Wang, Yong Liu, Xiang Chen
    Software: Practice and Experience. 2023, 53(4): 1061-1090. (CCF B)
    [Link]

17. [JSEP] A Token-based Compilation Error Categorization and Its Applications.
    Haifeng Wang, Hengyuan Liu, Zheng Li, Yong Liu, Fuxiang Sun, Xiang Chen
    Journal of Software: Evolution and Process. 2023, 35(2):e2512. (CCF B)
    [Link]

18. [JSS] ExploitGen: Template-Augmented Exploit Code Generation Based on CodeBERT.
    Guang Yang, Yu Zhou*, Xiang Chen*, Xiangyu Zhang, Tingting Han, Taolue Chen
    Journal of Systems and Software. 2023, 197: 111577. (CCF B)
    [Link]

19. [JSS] TitleGen-FL: Quality Prediction-based Filter for Automated Issue Title Generation.
    Hao Lin, Xiang Chen*, Xuejiao Chen, Zhanqi Cui, Yun Miao, Shan Zhou, Jianmin Wang, Zhan Su
    Journal of Systems and Software. 2023, 195: 11513. (CCF B)
    [Link]

20. [TRel] SeTransformer: A Transformer-based Code Semantic Parser for Code Comment Generation.
    Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Doyle Paul
    IEEE Transactions on Reliability. 2023, 72(1): 258-273.(CCF C)
    [Link]

21. [TSE] Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction.
    Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu
    IEEE Transactions on Software Engineering. 2022, 48(3):786-802. (CCF A)
    Invited to ICSE 2021 as part of the Journal First Paper Track
    [Link]

22. [IST] Can Test Input Selection Methods for Deep Neural Network Guarantee Test Diversity? A Large-scale Empirical Study.
    Chunyu Zhao, Yanzhou Mu, Xiang Chen*, Jingke Zhao, Xiaolin Ju*, Gan Wang
    Information and Software Technology. 2022, 150: 106982. (CCF B)
    [Link]

23. [JCST] DeltaFuzz: Historical Version Information-Guided Fuzz Testing.
    Jiaming Zhang, Zhanqi Cui, Xiang Chen, Huanhuan Wu, Liwei Zheng, Jianbin Liu
    Journal of Computer Science and Technology. 2022, 37(1):29-49. (CCF B)
    [Link]

24. [JSS] Interpretability Application of the Just-in-Time Software Defect Prediction Model.
    Wei Zheng, Tianren Shen, Xiang Chen, Peiran Deng
    Journal of Systems and Software. 2022, 188: 11245. (CCF B)
    [Link]

25. [TRel] Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization
    Yonghao Wu, Yong Liu, Weibo Wang, Zheng Li, Xiang Chen, Doyle Paul
    IEEE Transactions on Reliability. 2022, 71(2): 830-849. (CCF C)
    [Link]

26. [TRel] Can Higher-Order-Mutants Improve the Performance of Mutation-based Fault Localization?
    Haifeng Wang, Zheng Li, Yong Liu, Xiang Chen, Doyle Paul, Yuxiaoyang Cai, Luxi Fan
    IEEE Transactions on Reliability. 2022, 71(2): 1157-1173. (CCF C)
    [Link]

27. [KBS] CCGIR: Information Retrieval-based Code Comment Generation Method for Smart Contracts.
    Guang Yang, Ke Liu, Xiang Chen*, Yanlin Zhou, Chi Yu, Hao Lin
    Knowledge-Based Systems. 2022, 237:107858. (CCF C)
    [Link]

28. [IJSEKE] An Empirical Study on Higher-Order Mutation-Based Fault Localization.
    Haifeng Wang, Zheng Li, Yong Liu, Xiang Chen
    International Journal of Software Engineering and Knowledge. 2022, 32(1):1-35. (CCF C)
    [Link]

29. [CS] Do We Need To Pay Technical Debt in Blockchain Software Systems?
    Yubin Qu, Tie Bao, Xiang Chen, Meng Yuan, Long Li, Xianzhen Dou
    Connection Science. 2022, 34(1): 2026-2047. (CCF C)
    [Link]

30. [TSE] SEthesaurus: WordNet in Software Engineering.
    Xiang Chen, Chunyang Chen, Dun Zhang, Zhenchang Xing
    IEEE Transactions on Software Engineering. 2021, 47(9):1960-1979. (CCF A)
    [Link][Live Web site] [Package][Firefox Plugin] [Mathematical-specifc thesaurus and English-specifc thesaurus]

31. [JSS] SeCNN: A Semantic CNN Parser for Code Comment Generation.
    Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Deli Yu
    Journal of Systems and Software. 2021, 181:111036:1-111036:17. (CCF B)
    Invited to SANER 2023 as part of the Journal First Paper Track
    [Link]

32. [IST] Improving High-impact Bug Report Prediction with Combination of Interactive Machine Learning and Active Learning.
    Xiaoxue Wu, Wei Zheng, Xiang Chen, Yu Zhao, Tingting Yu, Dejun Mu
    Information and Software Technology. 2021, 133:106530:1-106530:12. (CCF B)
    [Link]

33. [IETS] Empirical Studies on the Impact of Filter based Ranking Feature Selection on Security Vulnerability Prediction.
    Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju
    IET Software. 2021, 15(1):75-89. (CCF B)
    [Link]

34. [IST] Revisiting Heterogeneous Defect Prediction Methods: How Far Are We?
    Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, Chao Ni
    Information and Software Technology. 2021, 130: 106441:1-106441:16. (CCF B)
    [Link]

35. [IST] LaProb: A Label Propagation Based Software Bug Localization Method.
    Zhengliang Li, Zhiwei Jiang, Xiang Chen*, Kaibo Cao, Qing Gu*
    Information and Software Technology. 2021, 130: 106410:1-106410:15. (CCF B)
    [Link]

36. [TRel] A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification.
    Wei Zheng, Yuxing Xun, Xiaoxue Wu, Zhi Deng, Xiang Chen, Yulei Sui
    IEEE Transactions on Reliability. 2021. 70(4):1658-1670. (CCF C)
    [Link]

37. [JCST] FATOC: Bug Isolation-based Multi-fault Localization by Using Optics Clustering.
    Yonghao Wu, Zheng Li, Yong Liu, Xiang Chen
    Journal of Computer Science and Technology. 2020, 35(5):979-998. (CCF B)
    [Link]

38. [JSS] The Impact Factors on the Performance of Machine Learning-Based Vulnerability Detection: A Comparative Study.
    Wei Zheng, Jialiang Gao, Xiaoxue Wu, Fengyu Liu, Yuxing Xun, Guoliang Liu, Xiang Chen
    Journal of Systems and Software. 2020, 168: 110659:1-110659:12. (CCF B)
    [Link]

39. [JSS] CVE-Assisted Large-Scale Security Bug Report Dataset Construction Method.
    Xiaoxue Wu, Wei Zheng, Xiang Chen, Fang Wang, Dejun Mu
    Journal of Systems and Software. 2020, 160: 110456:1-110456:14. (CCF B)
    [Link]

40. [JSEP] Do Different Cross-project Defect Prediction Methods Identify the Same Defective Modules?
    Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu
    Journal of Software: Evolution and Process. 2020, 32(5):e2234:1-e2234:24. (CCF B)
    [Link]

41. [TRel] Large-scale Empirical Studies on Effort-aware Security Vulnerability Prediction Methods.
    Xiang Chen, Yingquan Zhao, Zhanqi Cui, Guozhu Meng, Yang Liu, Zan Wang
    IEEE Transactions on Reliability. 2020, 69(1):70 - 87. (CCF C)
    [Link]

42. [JSEP] Multi-task Defect Prediction.
    Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao
    Journal of Software: Evolution and Process. 2019, 31(12): e2203 (CCF B)
    Invited to ICSME 2019 as part of the Journal First Paper Track
    [Link]

43. [IST] Improving Defect Prediction with Deep Forest.
    Tianchi Zhou, Xiaobing Sun, Xin Xia, Bin Li, Xiang Chen
    Information and Software Technology. 2019, 114: 204-216. (CCF B)
    [Link]

44. [JSS] An Empirical Study on Pareto Based Multi-objective Feature Selection for Software Defect Prediction.
    Chao Ni, Xiang Chen*, Fangfang Wu, Yuxiang Shen, Qing Gu*
    Journal of Systems and Software. 2019, 152: 215-238. (CCF B)
    [Link]

45. [JCST] DP-Share: Privacy-preserving Software Defect Prediction Model Sharing through Differential Privacy.
    Xiang Chen, Dun Zhang, Zhanqi Cui, Qing Gu, Xiaolin Ju
    Journal of Computer Science and Technology. 2019,34(5):1020-1038. (CCF B)
    [Link]

46. [IST] Software Defect Number Prediction: Unsupervised vs Supervised Methods.
    Xiang Chen, Dun Zhang, Yingquan Zhao, Zhanqi Cui, Chao Ni
    Information and Software Technology. 2019, 106: 161-181. (CCF B)
    [Link]

47. [SCIS] Personalized Project Recommendation on GitHub.
    Xiaobing Sun, Wenyuan Xu, Xin Xia, Xiang Chen, Bin Li
    Science China: Information Sciences. 2018,61(5):050106:1-050106:14. (CCF B)
    [Link]

48. [JSS] Localizing Multiple Software Faults based on Evolution Algorithm.
    Yan Zheng, Zan Wang, Xiangyu Fan, Xiang Chen, Zijiang Yang
    Journal of Systems and Software, 2018,139:107-123. (CCF B)
    [Link]

49. [IST] MULTI: Multi-Objective Effort-Aware Just-in-Time Software Defect Prediction.
    Xiang Chen, Yingquan Zhao, Qiuping Wang, Zhidan Yuan
    Information and Software Technology, 2018, 93:1-13. (CCF B)
    Invited to SANER 2019 as part of the Journal First Paper Track
    [Link]

50. [SQJ] A Systematic Survey on Automated Concurrency Bug Detection, Exposing, Avoidance and Fixing Techniques.
    Haojie Fu, Zan Wang, Xiang Chen, Xiangyu Fan
    Software Quality Journal, 2018, 26(3):855-889. (CCF C)
    [Link]

51. [JCST] A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction.
    Chao Ni, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen, Qiguo Huang
    Journal of Computer Science and Technology, 2017,32(6):1090-1107. (CCF B)
    [Link]

52. [TRel] Empirical Studies of a Two-stage Data Preprocessing Approach for Software Fault Prediction.
    Wangshu Liu, Shulong Liu, Qing Gu, Jiaqiang Chen, Xiang Chen, Daoxu Chen
    IEEE Transactions on Reliability, 2016, 65(1):38-53. (CCF C)
    [Link]

53. [JSS] HSFal: Effective Fault Localization using Hybrid Spectrum of Full Slices and Execution Slices.
    Xiaolin Ju, Shujuan Jiang, Xiang Chen, Xingya Wang, Yanmei Zhang, Heling Cao
    Journal of Systems and Software, 2014,90:3-17. (CCF B)
    [Link]

International Conference

1. [APSEC-2023] Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study.
   Guilong Lu, Xiaolin Ju, Xiang Chen, Shaoyu Yang, Liang Chen and Hao Shen
   In Proceedings of The 30th Asia-Pacific Software Engineering Conference (APSEC 2023). 2023. (CCF C)
   [Link] Acceptance Rate: 43/128

2. [ASE-Inch-2023] Unifying Defect Prediction, Categorization, and Repair by Multi-task Deep Learning.
   Chao Ni, Kaiwen Yang, Yan Zhu, Xiang Chen, Xiaohu Yang
   In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering,Industry Challenge (Competition) track (ASE-Inch 2023). 2023. (CCF A)
   [Link]

3. [ICSME-2023] GMBFL: Optimizing Mutation-Based Fault Localization via Graph Representation.
   Shumei Wu, Zheng Li, Yong Liu, Xiang Chen and Mingyu Li
   In Proceedings of the 39th International Conference on Software Maintenance and Evolution (ICSME 2023). 2023. (CCF B)
   [Link] Acceptance Rate: 27/119

4. [Internetware-2023] APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation.
   Yafeng Gu, Yiheng Shen, Xiang Chen*, Shaoyu Yang, Yiling Huang, Zhixiang Cao
   Iproceedings of the 14th Asia-Pacific Symposium on Internetware (Internetware 2023). 2023.(CCF C)
   [Link] Acceptance Rate: 30/75

5. [SEKE-2023] An Empirical Study of Adversarial Training in Code Comment Generation.
   Yiheng Shen, Xiaolin Ju, Xiang Chen, and Guang Yang
   In Proceedings of 35th International Conference on Software Engineering and Knowledge Engineering (SEKE 2023). 2023.(CCF C)
   [Link] Acceptance Rate: 39%

6. [COMPSAC-2023] EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network.
   Hao Shen, Xiaolin Ju, Xiang Chen and Guang Yang
   In Proceedings of 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2023). 2023.(CCF C)
   [Link] Acceptance Rate: 27%

7. [COMPSAC-2023] Identifying CC Test Cases with Multiple Features Extraction for Better Fault Localization.
   Yonghao Wu, Shuaihua Tian, Zezhong Yang, Zheng Li, Yong Liu and Xiang Chen
   In Proceedings of 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2023). 2023.(CCF C)
   [Link] Acceptance Rate: 27%

8. [COMPSAC-2023] TBCUP: A Transformer-based Code Comments Updating Approach.
   Shifan Liu, Zhanqi Cui, Xiang Chen, Jun Yang, Li Li and Liwei Zheng
   In Proceedings of 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2023). 2023.(CCF C)
   [Link]

9. [COMPSAC-2023] SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization.
   Luxi Fan, Zheng Li, Hengyuan Liu, Doyle Paul, Haifeng Wang, Xiang Chen, and Yong Liu
   In Proceedings of 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2023). 2023.(CCF C)
   [Link]

10. [STA-2023] Improving Fault Localization by Complex-Fault Oriented Higher-Order Mutant Generation.
    Zexing Chang, Yong Liu, Shumei Wu, Doyle Paul, Haifeng Wang and Xiang Chen
    In Proceedings of The 15th IEEE International Workshop on Software Test Automation (STA 2023). 2023.
    [Link]

11. [ICPC-2023] FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic.
    Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin , Lexiao Zhang
    In Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension (ICPC 2023) . 2023. (CCF B)
    [Link] Acceptance Rate: 22/67

12. [ICPC-2023] QTC4SO: Automatic Question Title Completion for Stack Overflow.
    Yanlin Zhou, Shaoyu Yang, Xiang Chen*, Zichen Zhang , Jiahua Pei.
    In Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension (ICPC 2023) . 2023. (CCF B)
    [Link] [Preprint] Acceptance Rate: 22/67
    🏆 ACM SIGSOFT Distinguished Paper Award (2/22) [Link]

13. [SANER-2023] ISTA: Automatic test case generation and optimization for intelligent systems based on coverage analysis.
    Wei Zheng, Lidan Lin, Xiang Chen, Guoliang Liu, Hao Huang, Jinjin Shen, Qingqing Xu and Yizeng Gu
    In Proceedings of the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering, Tool track (SANER-Tool 2023) . 2023. (CCF B)
    [Link] Acceptance Rate: 8/16

14. [ICSME-2022] BASHEXPLAINER: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT.
    Chi Yu, Guang Yang, Xiang Chen*, Ke Liu and Yanlin Zhou
    In Proceedings of the 38th International Conference on Software Maintenance and Evolution (ICSME 2022). 2022, 82-93. (CCF B)
    [Link] Acceptance Rate: 32/136

15. [ISSRE-2022] Improving the Performance of Mutation-based Fault Localization via Mutant Bias.
    Bin Du, Yuxiaoyang Cai, Haifeng Wang, Yong Liu and Xiang Chen
    In Proceedings of The 33rd International Symposium on Software Reliability Engineering (ISSRE 2022). 2022, 309-320. (CCF B)
    [Link] Acceptance Rate: 37/162

16. [SANER-2022] SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow.
    Ke Liu, Guang Yang, Xiang Chen* and Chi Yu
    In Proceedings of The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022). 2022, 577-588. (CCF B)
    [Link] Acceptance Rate: 48/199

17. [SANER-2022] DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
    Guang Yang, Xiang Chen*, Yanlin Zhou and Chi Yu
    In Proceedings of The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022). 2022, 361-372. (CCF B)
    [Link] Acceptance Rate: 48/199

18. [ASE-NIER-2022] An Empirical Study on Numerical Bugs in Deep Learning Programs.
    Gan Wang, Zan Wang, Junjie Chen, Xiang Chen and Ming Yan
    In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, the New Ideas and Emerging Results （NIER） track (ASE-NIER 2022). 2022, 1-5. (CCF A)
    [Link] Acceptance Rate: 18/50

19. [Internetware-2022] EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks.
    Ke Liu, Guang Yang, Xiang Chen* and Yanlin Zhou
    In Proceedings of the 13th Asia-Pacific Symposium on Internetware (Internetware 2022). 2022, 147-155. (CCF C)
    [Link]

20. [QRS-2022] CIL-BSP: Bug Report Severity Prediction based on Class Imbalanced Learning.
    Yu Su, Xinping Hu*, Xiang Chen* , Yubin Qu, Qianshuang Meng.
    In Proceedings of The 21st IEEE International Conference on Software Quality, Reliability and Security - Companion (QRS-C 2022). 2022. (CCF C)
    [Link]

21. [ICSE-2021] Automated Query Reformulation for Efficient Search Based on Query Logs from Stack Overflow.
    Kaibo Cao, Chuyang Chen*, Sebastian Baltes, Christoph Treude, Xiang Chen*
    In Proceedings of the 43rd International Conference on Software Engineering (ICSE 2021). 2021, 1273-1285. (CCF A)
    [Link][Pre-print] [Tool] Acceptance Rate: 138/615
    🏆 ACM SIGSOFT Distinguished Paper Award (13/138) [Link]

22. [ESEC/FSE-2021] A Comprehensive Study of Deep Learning Compiler Bugs.
    Qingchao Shen, Haoyang Ma, Junjie Chen*, Yongqiang Tian, Shing-Chi Cheung, Xiang Chen
    In Proceedings of The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021). 2021,968-980. (CCF A)
    [Link] Acceptance Rate: 97/396

23. [ISSRE-2021] Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning.
    Wei Zheng, Manqing Zhang, Hui Tang, Yuanfang Cai, Xiang Chen, Xiaoxue Wu and Abubakar Omari Abdallah Semasaba
    In Proceedings of The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021). 2021, 333-344. (CCF B)
    [Link] Acceptance Rate: 52/189

24. [QRS-2021] Evaluating Code Summarization with Improved Correlation with Human Assessment.
    Juanjuan Shen, Yu Zhou, Yongchao Wang, Xiang Chen, Tingting Han and Taolue Chen
    In Proceedings of The 21st International Conference on Software Quality, Reliability, and Security (QRS 2021). 2021, 990-1001. (CCF C)
    [Link] Acceptance Rate: 61/243

25. [QRS-2021] HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing.
    Yanzhou Mu, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen and Xiang Chen
    In Proceedings of The 21st International Conference on Software Quality, Reliability, and Security (QRS 2021). 2021, 219-230. (CCF C)
    [Link] Acceptance Rate: 61/243

26. [APSEC-2021] Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer.
    Guang Yang, Yanlin Zhou, Xiang Chen* and Chi Yu
    In Proceedings of The 28th Asia-Pacific Software Engineering Conference (APSEC 2021). 2021, 213-222. (CCF C)
    [Link] Acceptance Rate: 49/147

27. [APSEC-2021] S2LMMD: Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy.
    Wangshu Liu, Yongteng Zhu, Xiang Chen, Qing Gu, Xingya Wang and Shenkai Gu
    In Proceedings of The 28th Asia-Pacific Software Engineering Conference (APSEC 2021). 2021, 369-379. (CCF C)
    [Link] Acceptance Rate: 49/147

28. [COMPSAC-2021] CLACER: A Deep Learning-based Compilation Error Classification Method for Novice Students' Programs.
    Zheng Li, Fuxiang Sun, Haifeng Wang, Yifan Ding, Yong Liu, Xiang Chen
    In Proceedings of 45th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2021). 2021,74-83. (CCF C)
    [Link] Acceptance Rate: 27%

29. [SEKE-2021] DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa.
    Guang Yang, Yanlin Zhou, Chi Yu, Xiang Chen*
    In Proceedings of the 33rd International Conference on Software Engineering & Knowledge Engineering (SEKE 2021). 2021,499-502. (CCF C)
    [Link]

30. [DSA-2021] ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation.
    Guang Yang, Xiang Chen*, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu and Ke Liu
    In: Proceedings of the eighth International Conference on Dependable Systems and Their Applications (DSA 2021). 2021,30-41.
    [Link] Acceptance Rate: 20/76

31. [DSA-2021] EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description.
    YanXin Jia, Xiang Chen*, ShuYuan Xu, Guang Yang, JinXin Cao
    In: Proceedings of the eighth International Conference on Dependable Systems and Their Applications (DSA 2021). 2021,42-53.
    [Link] Acceptance Rate: 20/76

32. [DSA-2021] HMBFL: Higher-Order Mutation-Based Fault Localization.
    Zheng Li, Butian Shi, Haifeng Wang, Yong Liu and Xiang Chen
    In: Proceedings of the eighth International Conference on Dependable Systems and Their Applications (DSA 2021). 2021, 66-77.
    [Link] Acceptance Rate: 20/76

33. [DSA-2021] Fault Localization-Guided Test Data Generation Approach for Novice Programs.
    Zheng Li, Xiaotang Zhou, Deli Yu, Yonghao Wu, Yong Liu and Xiang Chen
    In: Proceedings of the eighth International Conference on Dependable Systems and Their Applications (DSA 2021). 2021,54-65.
    [Link] Acceptance Rate: 20/76

34. [APSEC-2020] Improving Machine Learning-based Code Smell Detection via Hyper-parameter Optimization.
    Lei Shen, Wangshu Liu, Xiang Chen, Qing Gu, Xuejun Liu
    In Proceedings of the 27th Asia-Pacific Software Engineering Conference (APSEC 2020). 2020, 276-285. (CCF C)
    [Link] Acceptance Rate: 45/122

35. [SEKE-2020] Revisiting Dependence Cluster Metrics based Defect Prediction.
    Qiguo Huang, Xiang Chen, Zhenliang Li, Chao Ni, Qing Gu
    In Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering (SEKE 2020). 2020, 329-334. (CCF C)
    [Link]

36. [KSEM-2020] CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks.
    Cheng He, Chao Peng, Na Li, Xiang Chen, Zhengfeng Yang and Zhenhao Hu
    In Proceedings of The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020). 2020, 168-180. (CCF C)
    [Link] Acceptance rate: 58/291

37. [ASE-2019] MAP-Coverage: a Novel Coverage Criterion for Testing Thread-Safe Classes.
    Zan Wang, Yingquan Zhao, Shuang Liu, Jun Sun, Xiang Chen, Huarui Lin
    In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019). 2019, 722-734. (CCF A)
    [Link][Project] Acceptance Rate: 93/445

38. [IJCNN-2019] Cross-project Defect Prediction via ASTToken2Vec and BLSTM based Neural Network.
    Hao Li, Xiaohong Li, Xiang Chen*, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng
    In Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019). 2019, 1-8. (CCF C)
    [Link]

39. [SEKE-2019] Multi-project Regression based Approach for Software Defect Number Prediction.
    Qiguo Huang, Chao Ni, Xiang Chen, Qing Gu, Kaibo Cao
    In Proceedings of the 31st International Conference on Software Engineering & Knowledge Engineering (SEKE 2019).2019, 425-430. （CCF C）
    [Link]

40. [ATC-2018] Software Defect Prediction Model Sharing under Differential Privacy.
    Dun Zhang, Xiang Chen*, Zhanqi Cui, Xiaolin Ju
    In Proceedings of the 15th IEEE International Conference on Advanced and Trusted Computing (ATC 2018). 2018, 1547-1554.
    [Link]

41. [PRICAI-2018] Exploiting Spatiotemporal Features to Infer Friendship in Location-based Social Networks.
    Cheng He, Chao Peng, Na Li, Xiang Chen and Lanying Guo
    In Proceedings of The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018). 2018, 395-403. （CCF C）
    [Link]

42. [Internetware-2017] Scalable Relevant Project Recommendation on GitHub.
    Wenyuan Xu, Xiaobing Sun, Xin Xia, Xiang Chen
    In Proceedings of the Ninth Asia-Pacific Symposium on Internetware (Internetware 2017).2017,9:1-9:10. (CCF C)
    [Link]

43. [COMPSAC-2017] FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction.
    Chao Ni, Wangshu Liu, Qing Gu, Xiang Chen, Daoxu Chen
    In Proceedings of The 41st Annual International Computers, Software and Applications Conference (COMPSAC 2017). 2017, 51-56. (CCF C)
    [Link]

44. [STA-2017] Applying Feature Selection to Software Defect Prediction using Multi-objective Optimization.
    Xiang Chen, Yuxiang Shen, Zhanqi Cui, Xiaolin Ju
    In Proceedings of The 9th IEEE International Workshop on Software Test Automation (STA 2017). 2017, 54-59.
    [Link]

45. [COMPSAC-2015] FECS: A Cluster based Feature Selection Method for Software Fault Prediction with Noises.
    Wangshu Liu, Shulong Liu, Qing Gu, Xiang Chen, Daoxu Chen
    In Proceedings of The 39th Annual International Computers, Software and Applications Conference (COMPSAC 2015). 2015, 276-281. (CCF C)
    [Link]

46. [COMPSAC-2014] FECAR: A Feature Selection Framework for Software Defect Prediction.
    Shulong Liu, Xiang Chen, Wangshu Liu, Jiaqiang Chen, Qing Gu, Daoxu Chen
    In Proceedings of The 38th Annual International Computers, Software and Applications Conference (COMPSAC 2014) .2014, 426-435. (CCF C)
    [Link] Acceptance Rate: 45/209

47. [SERE-2014] A Two-stage Data Preprocessing Approach for Software Fault Prediction.
    Jiaqiang Chen, Shulong Liu, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen
    In Proceedings of The 8th International Conference on Software Security and Reliability (SERE 2014). 2014, 20-29. (CCF C)
    [Link] Acceptance Rate: 26/86

48. [SEKE-2012] CATESR: Change-aware Test Suite Reduction Based on Partial Coverage of Test Requirements.
    Lijiu Zhang, Xiang Chen, Qing Gu, Haigang Zhao, Xiaoyan Shi, Daoxu Chen
    In Proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012). 2012, 217-224. (CCF C)
    [Link] Acceptance Rate: 59/219

49. [SAC-2011] A Test Suite Reduction Approach Based on Pairwise Interaction of Requirements.
    Xiang Chen, Lijiu Zhang, Qing Gu, Haigang Zhao, Ziyuan Wang, Xiaobing Sun, Daoxu Chen
    In Proceedings of the 26th Symposium on Applied Computing (SAC 2011). 2011, 1395-1402.
    [Link] Acceptance Rate: 15/51

50. [SAC-2011] Using Lattice of Class and Method Dependence for Change Impact Analysis of Object Oriented Programs.
    Xiaobing Sun, Bixin Li, Sai Zhang, Chuanqi Tao, Xiang Chen, Wanzhi Wen
    In Proceedings of the 26th Symposium on Applied Computing (SAC 2011). 2011, 1444-1449.
    [Link] Acceptance Rate: 15/51

51. [COMPSAC-2010] Applying Particle Swarm Optimization to Pairwise Testing.
    Xiang Chen, Qing Gu, Jingxian Qi, Daoxu Chen
    In Proceedings of the 34th Annual IEEE Computer Software and Application Conference (COMPSAC 2010).2010, 107-116. (CCF C)
    [Link] Acceptance Rate: 39/193

52. [SAC-2010] A Study of Relative Redundancy in Test-Suite Reduction While Retaining or Even Improving Fault-Localization.
    Xin Zhang, Qing Gu, Xiang Chen, Jingxian Qi, Daoxu Chen
    In Proceedings of the 25th Symposium on Applied Computing (SAC 2010).2010, 2229-2236.
    [Link]

53. [APSEC-2009] Variable Strength Interaction Testing with an Ant Colony System Approach.
    Xiang Chen, Qing Gu, Ang Li, Daoxu Chen
    In Proceedings of the 16th Asia-Pacific Software Engineering Conference (APSEC 2009). 2009, 160-167. (CCF C)
    [Link] Acceptance Rate: 63/209

54. [APSEC-2009] Fault Localization Based on Multi-Level Similarity of Execution Traces.
    Xinping Wang, Qing Gu, Xin Zhang, Xiang Chen, Daoxu Chen
    In Proceedings of the 16th Asia-Pacific Software Engineering Conference (APSEC 2009).2009, 399-405. (CCF C)
    [Link] Acceptance Rate: 63/209

Top Journals in China（国内一级学报）

1. [软件学报] 状态转化图指导的Android应用运行时权限检测错误检测方法。
   林高毅，崔展齐，陈翔，郑丽伟
   软件学报。2024。（一级学报）
   [Link]

2. [软件学报] 基于程序约束的细粒度 JVM 测试程序约简方法。
   杜义恒，王赞，赵英全，陈俊洁，陈翔，侯德俊，郑开
   软件学报。2024。（一级学报）
   [Link]

3. [软件学报] 融合信息检索和深度模型特征的软件缺陷定位方法。
   申宗汶，牛菲菲，李传艺，陈翔，李奇，葛季栋，骆 斌
   软件学报。2024。（一级学报）
   [Link]

4. [软件学报] IATD：基于解释分析的深度神经网络差分测试方法。
   谢瑞麟，崔展齐，陈翔，李莉
   软件学报。2023。（一级学报）
   [Link]

5. [计算机研究与发展] CodeScore-R：用于评估代码合成功能准确性的自动化鲁棒指标。
   杨光，周宇，陈翔，张翔宇
   计算机研究与发展。2023。（一级学报）
   [Link]

6. [软件学报] 智能合约安全漏洞检测研究进展。
   崔展齐，杨慧文，陈翔，王林章
   软件学报。2023。（一级学报）
   [Link]

7. [计算机学报] MMCUP：融合多模态信息的代码注释自动更新方法。
   刘诗凡，崔展齐，陈翔，李莉
   计算机学报。2023。（一级学报）
   [Link]

8. [软件学报] 基于历史缺陷信息的语句级缺陷定位方法。
   岳雷，崔展齐，陈翔，王荣存，李莉
   软件学报。2023。（一级学报）
   [Link]

9. [软件学报] 基于深度学习的函数名一致性检查及推荐方法。
   郑炜，唐辉，陈翔*，张永杰
   软件学报。2023。（一级学报）
   [Link]

10. [电子学报] 基于冗余覆盖信息约简的软件缺陷定位方法。
    王浩仁，崔展齐，岳雷，陈翔，郑丽伟
    电子学报。2023。（一级学报）
    [Link]

11. [计算机研究与发展] 基于可解释性分析的深度神经网络优化方法。
    吴欢欢，谢瑞麟，乔塬心，陈翔，崔展齐
    计算机研究与发展。2023。（一级学报）
    [Link]

12. [软件学报] GC-MCR：有向图约束指导的并发缺陷检测方法。
    李硕川，王赞，马明旭，陈翔，赵英全，王海弛，王昊宇
    软件学报。2022。（一级学报）
    [Link]

13. [软件学报] IATG：基于可解释性分析的自动驾驶软件测试数据生成方法。
    谢瑞麟，崔展齐，陈翔，郑丽伟
    软件学报。2022。（一级学报）
    [Link]

14. [软件学报] 基于可攻击空间假设的陷阱式集成对抗防御网络。
    孙家泽，温苏雷，郑炜，陈翔
    软件学报。2022。（一级学报）
    [Link]

15. [软件学报] 基于知识图谱的跨项目安全缺陷报告预测方法。
    郑炜，刘程远，吴潇雪，陈翔，成婧源，孙小兵，孙瑞阳
    软件学报。2022。（一级学报）
    [Link]

16. [信息安全学报] Tenda AX12路由器0-Day栈溢出漏洞挖掘方法。
    郑炜，许晴晴，李奇，陈翔，孙家泽
    信息安全学报。2022。（一级学报）
    [Link]

17. [信息安全学报] 机器学习在模糊测试中的应用现状与挑战。
    陈宏程，闫秋存，相璐，孟国柱，陈翔，纪守领
    信息安全学报。2022。（一级学报）
    [Link]

18. [计算机研究与发展] Android恶意应用静态检测方法研究综述。
    潘建文，崔展齐，林高毅，陈翔，郑丽伟
    计算机研究与发展。2022。（一级学报）
    [Link]

19. [软件学报] 一种基于同步语义对齐的异构缺陷预测方法。
    李伟湋，陈翔，张恒伟，黄志球，贾修一
    软件学报。2023，34（6）：2669-2689。（一级学报）
    [Link]

20. [软件学报] DeepRager：覆盖制导的深度森林测试方法。
    崔展齐*，谢瑞麟，陈翔*，刘秀磊，郑丽伟
    软件学报。2023，34（5）：2251-2267。（一级学报）
    [Link]

21. [软件学报] Deep-SBFL: 基于频谱的深度神经网络缺陷定位方法。
    李铮，崔展齐，陈翔，王荣存，刘建宾，郑丽伟
    软件学报。2023，34（5）：2231-2250。（一级学报）
    [Link]

22. [软件学报] 基于双重信息检索的Bash代码注释生成方法。
    陈翔，于池，杨光，濮雪莲，崔展齐
    软件学报。2023，34（3）：1310-1329。（一级学报）
    [Link]

23. [软件学报] 采用多目标优化的深度学习测试优化方法。
    沐燕舟，王赞，陈翔，陈俊洁，赵静珂，王建敏
    软件学报。2022，33（7）：2499-2524。（一级学报）
    [Link]

24. [软件学报] 重复软件缺陷报告检测方法综述。
    郑炜，王晓龙，陈翔*，夏鑫，廖慧玲，刘程远，孙瑞阳
    软件学报。2022，33（6）：2288-2311。（一级学报）
    [Link][在线出版]

25. [计算机研究与发展] 安卓移动应用兼容性测试研究综述。
    郑炜，唐辉，陈翔*，张满青，夏鑫
    计算机研究与发展。2022，59（6）：1370-1387。（一级学报）
    [Link]

26. [软件学报] 基于软件度量的Solidity智能合约缺陷预测方法。
    杨慧文，崔展齐，陈翔，贾明华，郑丽伟，刘建宾
    软件学报。2022，33（4）：1587-1611。（一级学报）
    [Link]

27. [计算机学报] 软件多缺陷定位方法研究综述。
    李征，吴永豪，王海峰，陈翔*，刘勇*
    计算机学报。2022，45（2）：256-288。（一级学报）
    [Link][在线出版]

28. [软件学报] 代码注释自动生成方法综述。
    陈翔，杨光，崔展齐，孟国柱，王赞
    软件学报。2021，32（7）：2118-2141。（一级学报）
    [Link]

29. [软件学报] 面向神经机器翻译系统的多粒度蜕变测试。
    钟文康，葛季栋，陈翔，李传艺，唐泽，骆斌
    软件学报。2021，32（4）：1051-1066。（一级学报）
    [Link]

30. [软件学报] 基于信息检索的软件缺陷定位方法综述。
    李政亮，陈翔*，蒋智威，顾庆*
    软件学报。2021，32（2）：247-276。（一级学报）
    [Link]

31. [软件学报] 深度神经网络测试研究综述。
    王赞，闫明，刘爽，陈俊洁，张栋迪，吴卓，陈翔
    软件学报。2020，31（5）：1255-1275。（一级学报）
    [Link]

32. [软件学报] 基于深度学习的安全缺陷报告预测方法实证研究。
    郑炜，陈军正，吴潇雪，陈翔，夏鑫
    软件学报。2020，31（5）：1294-1313。（一级学报）
    [Link]

33. [软件学报] 基于文件粒度的多目标软件缺陷预测方法实证研究。
    陈翔，赵英全，顾庆，倪超，王赞
    软件学报。2019，30（12）：3694-3713。（一级学报）
    [Link]

34. [软件学报] 基于符号执行与模糊测试的混合测试方法。
    谢肖飞，李晓红，陈翔，孟国柱，刘杨
    软件学报。2019，30（10）：3071-3089。（一级学报）
    [Link]

35. [软件学报] 基于特征迁移和实例迁移的跨项目缺陷预测方法。
    倪超，陈翔*，刘望舒，顾庆*，黄启国，李娜
    软件学报。2019，30（5）：1308-1329。（一级学报）
    [Link]

36. [计算机学报] 自动程序修复方法研究述评。
    王赞，郜健，陈翔*，傅浩杰，樊向宇
    计算机学报, 2018，41（3）：588-610。 （一级学报）
    [Link]

37. [计算机学报] 跨项目软件缺陷预测方法研究综述。
    陈翔，王莉萍，顾庆，王赞，倪超，刘望舒，王秋萍
    计算机学报, 2018，41（1）：254-274。 （一级学报）
    [Link]

38. [计算机学报] 一种面向软件缺陷预测的可容忍噪声的特征选择框架。
    刘望舒，陈翔，顾庆，刘树龙，陈道蓄
    计算机学报, 2018，41（3）：506-520。 （一级学报）
    [Link]

39. [电子学报] PSP-Finder: A Defect Detection Method based on Mining Correlations from Function Call Paths.
    Zhanqi Cui, Xiang Chen, Yongmin Mu, Minxue Pan, Rongcun Wang
    Chinese Journal of Electronics, 2018, 27(4):776-782.
    [Link]

40. [软件学报] 一种半监督集成跨项目软件缺陷预测方法。
    何吉元，孟昭鹏，陈翔，王赞，樊向宇
    软件学报, 2017，28（6）：1455-1473。 （一级学报）
    [Link]

41. [中国科学：信息科学] 软件缺陷预测中基于聚类分析的特征选择方法。
    刘望舒，陈翔，顾庆，刘树龙，陈道蓄
    中国科学：信息科学, 2016，46（9）：1298–1320。 （一级学报）
    [Link]

42. [软件学报] 一种基于遗传算法的多缺陷定位方法。
    王赞，樊向宇，邹雨果，陈翔
    软件学报, 2016，27（4）： 879-900。 （一级学报）
    [Link]

43. [软件学报] 静态软件缺陷预测方法研究。
    陈翔，顾庆，刘望舒，刘树龙，倪超
    软件学报, 2016，27（1）：1-25。 （一级学报）
    [Link]
    🏆 《软件学报》2018年高影响力论文（共27篇）

44. [软件学报] 基于程序频谱的动态缺陷定位方法研究。
    陈翔，鞠小林，文万志，顾庆
    软件学报, 2015，26（2）：390-412。 （一级学报）
    [Link]

45. [计算机研究与发展] 基于切片谱的错误定位框架影响因素分析。
    鞠小林，姜淑娟，陈翔，张艳梅，邵浩然
    计算机研究与发展, 2014，51（12）：2772-2787。 （一级学报）
    [Link]

46. [软件学报] 回归测试中的测试用例优先排序技术述评。
    陈翔，陈继红，鞠小林，顾庆
    软件学报, 2013，24（8）：1695-1712。 （一级学报）
    [Link]

47. [软件学报] 一种基于粒子群优化的成对组合测试算法框架。
    陈翔，顾庆，王子元，陈道蓄
    软件学报, 2011，22（12）：2879-2893。 （一级学报）
    [Link]

Other（其他）

1. [计算机应用研究] 移动App即时缺陷预测模型的可解释性方法。
   胡新宇，陈翔*，夏鸿崚，顾亚锋
   计算机应用研究。2022。
   [Link]

2. [南通大学学报] 一种变粒度缺陷报告严重程度预测方法。
   贾焱鑫，林浩，陈翔*，濮雪莲，葛骅
   南通大学学报（自然科学版）。2022。
   [Link]

3. [吉林大学学报] GIF：基于GIT日志的即时软件质量分析框架。
   黄纬，黄晓华，张源，陈翔，钱柱中
   吉林大学学报（理学版）。2022。
   [Link]

4. [吉林大学学报] 基于深度学习的Stack Overflow问题帖分类方法。
   杨光，贾焱鑫，陈翔*，许舒源
   吉林大学学报（理学版）。2021。
   [Link]

5. [Cybersecurity] Evaluation indicators for open-source software: a review.
   Yuhang Zhao, Ruigang Liang, Xiang Chen, Jing Zou
   Cybersecurity. 2021.
   [Link]

6. [计算机应用研究] ORESP：基于有序回归的软件缺陷严重程度预测方法。
   贾焱鑫，陈翔*，葛骅，杨光，林浩
   计算机应用研究。2021。
   [Link]

7. [ACCESS] HOPE: Software Defect Prediction Model Construction Method via Homomorphic Encryption.
   Chi Yu, Zixuan Ding, Xiang Chen*
   IEEE ACCESS. 2021.
   [Link]

8. [ACCESS] Improving Software Fault Localization by Combining Spectrum and Mutation.
   Zhanqi Cui, Minghua Jia, Xiang Chen, Liwei Zheng, Xiulei Liu
   IEEE ACCESS. 2020.
   [Link]

9. [ACCESS] IETCR: An Information Entropy Based Test Case Reduction Strategy for Mutation-Based Fault Localization.
   Haifeng Wang, Bin Du, Jie He, Yong Liu, Xiang Chen
   IEEE ACCESS. 2020.
   [Link]

10. [ACCESS] ALTRA: Cross-project Software Defect Prediction via Active Learning and TrAdaBoost.
    Zhidan Yuan, Xiang Chen*, Zhanqi Cui, Yanzhou Mu
    IEEE ACCESS. 2020.
    [Link]

11. [ACCESS] DeepCPDP: Deep Learning based Cross-Project Defect Prediction.
    Deyu Chen, Xiang Chen*, Hao Li, Junfeng Xie, Yanzhou Mu
    IEEE ACCESS. 2019.
    [Link]

12. [ACCESS] Detecting Defects based on Mining and Confirming Programming Patterns from Different Versions of Projects.
    Zhanqi Cui, Xiang Chen, Liwei Zheng, Zhihua Zhang, Yongmin Mu
    IEEE ACCESS. 2019.
    [Link]

13. [计算机工程与应用] FSDNP：针对软件缺陷数预测的特征选择方法。
    李叶飞，官国飞，葛崇慧，陈翔，倪超，钱柱中
    计算机工程与应用。2019。
    [Link]

14. [东南大学学报] Analogy-Based Software Effort Estimation using Multi-Objective Feature Selection.
    Xiang Chen, Fengyan Lu, Yuxiang Shen, Junfeng Xie, Wanzhi Wen
    Journal of Southeast University (English Edition)。2018。
    [Link]

15. [计算机科学与探索] 基于多目标优化的软件缺陷预测特征选择方法。
    陈翔，沈宇翔，孟少卿，崔展齐，鞠小林，王赞
    计算机科学与探索。2018。
    [Link]

16. [计算机科学] 基于代码修改的多目标有监督缺陷预测建模方法。
    陈翔，王秋萍
    计算机应用研究。2018。
    [Link]

17. [计算机应用研究] 基于Box-Cox转换的集成跨项目软件缺陷预测方法。
    王莉萍，陈翔*，王秋萍，赵英全
    计算机应用研究。2017。
    [Link]

18. [计算机应用研究] SBFS：基于搜索的软件缺陷预测特征选择框架。
    陈翔，陆凌姣，吉人，魏世鑫
    计算机应用研究。2017。
    [Link]

19. [计算机应用研究] HFS：一种面向软件缺陷预测的混合特征选择方法。
    陈翔，贺成，王宇，管怀文
    计算机应用研究。2016。
    [Link]

20. [计算机科学] 回归测试中测试用例集缩减问题的研究。
    陈翔，顾庆，陈道蓄，蒋峥峥
    计算机科学。2014。
    [Link]

21. [计算机科学] 回归测试用例选择技术研究综述。
    陈翔，顾卫江，徐慧，顾庆，陈道蓄
    计算机科学。2013。
    [Link]

22. [计算机科学] 回归测试中测试用例集扩充技术研究进展。
    陈翔，顾庆，陈道蓄
    计算机科学。2013。
    [Link]

23. [计算机科学与探索] 变异测试：原理、优化和应用。
    陈翔，顾庆
    计算机科学与探索。2012。
    [Link]

24. [计算机科学] 组合测试研究进展。
    陈翔，顾庆，王新平，陈道蓄
    计算机科学。2010。
    [Link]

25. [计算机科学] 基于执行轨迹的软件缺陷定位方法研究。
    王新平，顾庆，陈翔，张鑫，陈道蓄
    计算机科学。2009。
    [Link]

26. [计算机科学] 一种软件可靠性增长模型选择与综合方法。
    冯光成，顾庆，陈翔，陈道蓄
    计算机科学。2009。
    [Link]

27. [计算机教育] 面向算法设计与分析课程的翻转课堂教学模式研究。
    陈翔
    计算机教育。2016。
    [Link]
    🏆 南通大学第六届优秀高等教育研究论文三等奖

28. [计算机教育] 地方高等院校计算机专业本科生的科研能力培养方法研究。
    陈翔
    计算机教育。2016。
    [Link]

29. [计算机教育] 测试驱动开发思想指导下的C++程序设计教学改革。
    陈翔，鞠小林，顾卫江，文万志
    计算机教育。2015。
    [Link]
    🏆 南通大学第六届优秀高等教育研究论文二等奖

30. [计算机教育] 面向不同层次学生的算法设计与分析课程教学改革探索。
    陈翔
    计算机教育。2014。
    [Link]

31. [计算机教育] 卓越计划驱动下的“软件测试技术”课程教学改革。
    陈翔，鞠小林
    计算机教育。2013。
    [Link]
    🏆 2013-2014全国计算机教育优秀论文评比二等奖

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