Selected Publications

More publications can be found in [Google Scholar] [DBLP]
* Corresponding Author

Journal

  1. [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. 2022. (CCF A)
    [Link]

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

  3. [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.
    [Link]

  4. [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. 2022.
    [Link]

  5. [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 (CCF A) as part of the Journal First Paper Track
    [Link]

  6. [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]

  7. [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]

  8. [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]

  9. [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]

  10. [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.
    [Link]

  11. [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)
    [Link]

  12. [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]

  13. [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]

  14. [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]

  15. [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]

  16. [Cybersecurity] Evaluation indicators for open-source software: a review.
    Yuhang Zhao, Ruigang Liang, Xiang Chen, Jing Zou
    Cybersecurity. 2021, 4:20
    [Link]

  17. [IEEE ACCESS] HOPE: Software Defect Prediction Model Construction Method via Homomorphic Encryption.
    Chi Yu, Zixuan Ding, Xiang Chen*
    IEEE ACCESS. 2021, 9:69405-69417
    [Link]

  18. [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]

  19. [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]

  20. [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]

  21. [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]

  22. [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.
    [Link]

  23. [IEEE ACCESS] Empirical Evaluation on the Impact of Class Overlap for EEG-based Early Epileptic Seizure Detection.
    Yubin Qu, Xiang Chen, Fang Li, Fan Yang, Junxia Ji, Long Li
    IEEE ACCESS. 2020, 8:180328-180340.
    [Link]

  24. [IEEE ACCESS] Improving Software Fault Localization by Combining Spectrum and Mutation.
    Zhanqi Cui, Minghua Jia, Xiang Chen, Liwei Zheng, Xiulei Liu
    IEEE ACCESS. 2020, 8:172296-172307.
    [Link]

  25. [IEEE 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, 8:124297-124310.
    [Link]

  26. [IEEE ACCESS] ALTRA: Cross-project Software Defect Prediction via Active Learning and TrAdaBoost.
    Zhidan Yuan, Xiang Chen*, Zhanqi Cui, Yanzhou Mu
    IEEE ACCESS. 2020, 8:30037-30049.
    [Link]

  27. [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 (CCF B) as part of the Journal First Paper Track
    [Link]

  28. [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]

  29. [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]

  30. [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]

  31. [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]

  32. [IEEE ACCESS] DeepCPDP: Deep Learning based Cross-Project Defect Prediction.
    Deyu Chen, Xiang Chen*, Hao Li, Junfeng Xie, Yanzhou Mu
    IEEE ACCESS. 2019, 7:184832-184848.
    [Link]

  33. [IEEE 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, 7: 144280-144291.
    [Link]

  34. [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]

  35. [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]

  36. [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 (CCF B) as part of the Journal First Paper Track
    [Link]

  37. [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]

  38. [CJE] 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]

  39. [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, 34(3):295-302.
    [Link]

  40. [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]

  41. [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.
    [Link]

  42. [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]

Conference

  1. [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, 566-577. (CCF B)
    [Link] Acceptance Rate: 48/199

  2. [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

  3. [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.
    [Link]

  4. [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]

  5. [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

  6. [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

  7. [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

  8. [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

  9. [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. (CCF C)
    [Link] Acceptance Rate: 49/147

  10. [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. (CCF C)
    [Link] Acceptance Rate: 49/147

  11. [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%

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

  13. [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

  14. [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

  15. [DSA-2021] Fault Localization-Guided Test Data Generation Approach for Novice Programs.
    Zheng Li, Xiaotang Zhou, Deli Yu, Yonghao Wu, Yong Liu, 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

  16. [DSA-2021] HMBFL: Higher-Order Mutation-Based Fault Localization.
    Zheng Li, Butian Shi, Haifeng Wang, Yong Liu, 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

  17. [ICCSE-2021] Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code.
    Zheng Li, Liping Li, Yonghao Wu, Yong Liu, Xiang Chen
    In: Proceedings of the 16th International Conference on Computer Science & Education (ICCSE 2021). 2021, 463-468.
    [Link]

  18. [ICCSE-2021] Applying Faulty Statement Category Frequency to Localize Faults for Student Programs.
    Zheng Li, Xiaotang Zhou, Yonghao Wu, Yong Liu, Xiang Chen
    In: Proceedings of the 16th International Conference on Computer Science & Education (ICCSE 2021). 2021, 969-974.
    [Link]

  19. [ICCSE-2021] Data-driven based student programming competition award prediction via machine learning models.
    Yong Liu, Kai Tian, Haifeng Wang, Hengyuan Liu, Yonghao Wu, Xiang Chen
    In: Proceedings of the 16th International Conference on Computer Science & Education (ICCSE 2021). 2021, 463-468.
    [Link]

  20. [IBF-2021] Research Progress of Flaky Tests.
    Wei Zheng, Guoliang Liu, Manqing Zhang, Xiang Chen, Wenqiao Zhao
    In Proceedings of 3rd International Workshop on Intelligent Bug Fixing (IBF 2021). 2021, 639-646.
    [Link]

  21. [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

  22. [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

  23. [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]

  24. [IBF-2020] An Empirical Study of High-impact Factors for Machine Learning-Based Vulnerability Detection.
    Wei Zheng, Jialiang Gao, Xiaoxue Wu, Yuxing Xun, Guoliang Liu, Xiang Chen
    In Proceedings of 2nd International Workshop on Intelligent Bug Fixing (IBF 2020). 2020, 55-63.
    [Link]

  25. [IBF-2020] Blve: Should The Current Software Version Suitable For Release? .
    Wei Zheng, Xiaojun Chen, Manqing Zhang, Zhao Shi, Junzheng Chen, Xiang Chen
    In Proceedings of 2nd International Workshop on Intelligent Bug Fixing (IBF 2020). 2020, 26-34.
    [Link]

  26. [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

  27. [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]

  28. [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]

  29. [SATE-2018] Mining Function Call Sequence Patterns across Different Versions of the Project for Defect Detection.
    Zhanqi Cui, Xiang Chen, Yongmin Mu, Zhihua Zhang, Xu Ma
    In Proceedings of The Annual Conference on Software Analysis, Testing and Evolution (SATE 2018) .2018, 154-169.
    [Link] Acceptance Rate: 9/34

  30. [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]

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

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

  33. [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]

  34. [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.
    [Link]

  35. [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]

  36. [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

  37. [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

  38. [Internetware-2013] Empirical Studies on Feature Selection for Software Fault Prediction.
    Jiaqiang Chen, Shulong Liu, Xiang Chen, Qing Gu, Daoxu Chen
    In Proceedings of the 5th Asia-Pacific Symposium on Internetware (Internetware 2013). 2013, 163-166.
    [Link]

  39. [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

  40. [SNPD-2012] Factor Analysis for Influence Maximization Problem in Social Networks.
    Xing Shang, Xiang Chen, Qing Gu, Zhiwei Jiang, Daoxu Chen
    In Proceedings of the 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2012). 2012, 95-101.
    [Link]

  41. [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

  42. [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

  43. [ICSEA-2010] D-WAV: A Web Application Vulnerabilities Detection Tool Using Characteristics of Web Forms.
    Lijiu Zhang, Qing Gu, Shushen Peng, Xiang Chen, Haigang Zhao, Daoxu Chen
    In Proceedings of the 5th International Conference on Software Engineering Advances (ICSEA 2010). 2010, 507-513.
    [Link]

  44. [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

  45. [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]

  46. [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

  47. [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

  48. [QSIC-2009] Building Prioritized Pairwise Interaction Test Suites with Ant Colony Optimization.
    Xiang Chen, Qing Gu, Xin Zhang, Daoxu Chen
    In Proceedings of the 9th International Conference on Quality Software (QSIC 2009).2009, 347-352. (CCF C)
    [Link]

国内一级学报

  1. [软件学报] DMOS:基于多目标优化的深度学习测试输入选择方法。
    沐燕舟,王赞,陈翔,陈俊洁,赵静珂,王建敏
    软件学报。2022。(一级学报)
    [Link]

  2. [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。(一级学报)
    [Link]

  3. [软件学报] 基于双重信息检索的Bash代码注释自动生成方法。
    陈翔,于池,杨光,濮雪莲,崔展齐
    软件学报。2022。(一级学报)
    [Link]

  4. [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。2021。(一级学报)
    [Link]

  5. [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。2021。(一级学报)
    [Link]

  6. [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。2021。(一级学报)
    [Link]

  7. [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。2021。(一级学报)
    [Link]

  8. [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。2021。(一级学报)
    [Link][在线出版]

  9. [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]

  10. [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]

  11. [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]

  12. [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]

  13. [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]

  14. [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]

  15. [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]

  16. [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]

  17. [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]

  18. [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]

  19. [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]

  20. [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]

  21. [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]

  22. [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]

  23. [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]

  24. [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)

  25. [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]

  26. [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]

  27. [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]

  28. [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]

国内核心期刊

  1. [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。2018,12(9):1420-1433。(中文核心)
    [Link]

  2. [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,2012,6(12):1057-1075。(中文核心)
    [Link]

  3. [吉大学报] 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)。2022,60(1):135-142。 (中文核心)
    [Link]

  4. [吉大学报] 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)。2021,59(4):922-928。 (中文核心)
    [Link]

  5. [吉大学报] 一种基于类不平衡学习的情感分析方法
    李芳,曲豫宾,陈翔,李龙,杨帆
    吉林大学学报(理学版)。2021,59(4):929-935。 (中文核心)
    [Link]

  6. [吉大学报] 可缓解类重叠问题的跨版本软件缺陷预测方法
    曲豫宾,陈翔,李龙
    吉林大学学报(理学版)。2021,59(2):372-378。 (中文核心)
    [Link]

  7. [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
    计算机科学,2018,45(6):161-165。(中文核心)
    [Link]

  8. [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,2014,41(9):196-204。(中文核心)
    [Link]

  9. [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, 2013,40(10):1-9。(中文核心)
    [Link]

  10. [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,2013,40(6):8-15。(中文核心)
    [Link]

  11. [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,2010,37(3):1-5。(中文核心)
    [Link]

  12. [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,2009,36(10):135-138。(中文核心)
    [Link]

  13. [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,2009,36(9):168-171。(中文核心)
    [Link]

  14. [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,2019,55(14):61-68。(中文核心)
    [Link]

  15. [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。(中文核心)
    [Link]

  16. [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,2021,38(6):1815-1818。(中文核心)
    [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,2017,34(7):2023-2026。(中文核心)
    [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,2017,34(4):1105-1108。(中文核心)
    [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,2016,33(6):1758-1761。(中文核心)
    [Link]

  20. [通大学报] 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),2021。
    [Link]

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。