职务职称：

副院长、教授、博导

所属系部：

网络空间安全系

研究方向：

软件系统安全、网络安全、软件测试

联系电话：

QQ:28106667

电子邮箱：

jinfuchen@ujs.edu.cn

陈锦富，博士，教授，博士生导师，江苏大学计算机学院副院长，江苏省工业网络安全技术重点实验室主任，网络空间安全一级学科带头人，国家级一流专业建设点信息安全专业负责人。2009年6月硕博连读毕业于华中科技大学计算机软件与理论专业，获工学博士学位。国家自然科学基金通信评议专家，科技部、江苏省科技厅、江西省科技厅、湖南省科技厅等科技项目评审专家，江苏省信息化项目建设咨询专家。现任江苏省网络空间安全学会理事、江苏省计算机学会理事、中国计算机学会杰出会员，中国计算机学会软件工程专业委员会执行委员、中国计算机学会网络与系统安全专业委员会执行委员、中国计算机学会区块链专业委员会执行委员。江苏省“333工程”中青年科学技术带头人、江苏省“青蓝工程”中青年学术带头人、江苏省六大高峰人才、江苏大学青年学术带头人。获批2012年国家公派访问学者资助项目，在澳大利亚斯文本科技大学T. Y. Chen教授课题组交流访问一年。主持国家某部委重点项目、国家重点研发计划子课题及国家自然科学基金面上项目等国家及省部级课题20余项。在CCF A类期刊（会议）以及国内外权威期刊（会议）发表高质量学术论文100余篇。此外，申请国家发明专利30余项，获批软件著作权20余项，多项研究成果已有初步应用和转化。长期从事软件系统安全测评与软件漏洞挖掘相关研究工作，研发了一套基于漏洞特征和漏洞模型的软件漏洞综合检测系统，已应用于相关领域信息系统的安全性测试及保障，相关研究成果获省部级（行业协会）科学技术二等奖2项。

教学上，获江苏省教学成果奖二等奖1项，省级一流课程及案例3门次，主持省部级及以上教改项目3项，多次获评江苏大学优秀教师。指导学生获中国大学生计算机设计大赛、全国大学生信息安全竞赛等国家级A类赛事一等奖及二等奖20余项。

  主要研究兴趣为软件系统安全、网络安全及软件漏洞检测，包含软件安全测试、智能软件安全保障、智能体漏洞检测、恶意软件检测以及异常加密流量检测等。欢迎报考计算机科学与技术、计算机技术、软件工程、人工智能及网络空间安全的博士（后）和硕士生联系和咨询！也欢迎优秀的本科生联系进入项目组实习！

教研成果

荣誉&奖项

² 江苏省“333工程”中青年科学技术带头人

² 江苏省“青蓝工程”中青年学术带头人

² 江苏省六大人才高峰人才

² 江苏大学青年学术带头人

² 江苏省教学成果奖 二等奖，2021年

² 江苏省优秀研究生教学案例，2022年

² 江苏省一流课程 负责人，2021年

² 江苏大学优秀教师，2016年、2018年

² 江苏大学优秀学业导师，2019年、2021年

² 江苏省研究生实践大赛优秀指导教师 （江苏省学位委员会办公室）

² 江苏省计算机学会理事

² 江苏省网络空间安全学会理事

² 中国计算机学会软件工程专业委员会执行委员

² 中国计算机学会网络与系统安全专业委员执行会委员

² 中国计算机学会区块链专业委员执行会委员

² 国际会议IEEE International Conference on Software Quality, Reliability and Security(QRS 20 18-2026)程序委员会委员

² 国际会议ICA3PP、NOPE、IEEE AITest等程序委员会委员

² 指导学生获江苏省优秀本科毕业设计二等奖

² 指导学生获第15届、16届中国大学生计算机设计大赛全国一等奖

² 全国大学生信息安全竞赛作品赛决赛特邀评审专家

² 江苏省大学生计算机设计大赛执行委员会委员

² 指导诸多研究生获国家奖学金、校长奖学金、江苏大学优秀毕业生等称号

  ² 已培养博士毕业研究生8名，硕士毕业生40余名

部分科研项目

[1] 国家自然科学基金面上项目，62172194，面向软件漏洞挖掘的智能化Fuzzing测试方法研究，主持，2022/01-2025/12；

[2] 国家自然科学基金联合基金项目，U1836116，网络流量中基于数据控制流的漏洞利用程序检测方法研究，主持，2019/01-2021/12；

[3] “十三五”部委预研基金，6140***502，物联网软件链漏洞***技术研究，主持，2019/01-2020/12；

[4] 部委预研领域基金，6140***116，基于缺陷预测的******方法研究，主持，2021/01-2021/12；

[5] 国家级重点项目，漏洞挖掘****测试技术研究，主持，2017/1—2019/6；

[6] 国家自然科学基金青年基金，61202110，基于数据挖掘的第三方构件安全性测试方法研究，主持，2013/01-2015/12；

[7] 国家重点研发计划项目，2020YF***05500，“以链治链”的****与关键技术研究，任务主持， 2020/11-2023/10；

[8] 江苏省前沿引领技术基础重大项目，2020JSQYZ001，人机物深度融合高可信网构软件技术、理论与方法，主要参与，2020/01-2024/12；

[9] 教育部博士点基金，20103227120005，基于化学抽象机的第三方构件隐式安全漏洞测试方法研究，主持，2011/0-2013/012；

  [10]江苏省自然科学基金，BK2012284，基于变异测试的COTS构件软件安全性测试方法, 主持，2012/07-2015/06。

近年来发表的部分IEEE/ACM Trans.或CCF B及以上学术论文（*为通讯作者）

[1] Ernest Akpaku, Jinfu Chen^∗, Joshua Ofoeda. TIPSO-GAN: Malicious Network Traffic Detection Using a Novel Optimized Generative Adversarial Network. The 33rd Network and Distributed System Security Symposium (NDSS 2026), 23-27 February 2026, San Diego, CA, USA. （CCF A类会议）

[2] Jingyi Chen, Jinfu Chen^∗, Saihua Cai, Shengran Wang. IDBFuzz: Web Storage DataBase Fuzzing with Controllable Semantics. The 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025), 16-20 Nov. 2025, Seoul, South Korea. （CCF A类会议）

[3] Ernest Akpaku, Jinfu Chen*, Mukhtar Ahmed, Francis Kwadzo Agbenyegah, Joshua Ofoeda. MGAN: A Multi-view Graph Adaptive Network for Robust Malicious Traffic Detection. ACM Transactions on Privacy and Security. 28(4): 45:1-45:35 (2025) （CCF B类期刊）

[4] Mukhtar Ahmed, Jinfu Chen*, Ernest Akpaku, Rexford Nii Ayitey Sosu, Ajmal Latif. DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization. ACM Transactions on Privacy and Security. 27(4): 32:1-32:36 (2024) （CCF B类期刊）

[5] Saihua Cai, Lizhou Chen, Jinfu Chen*, Shengran Wang, et.al. CL-ViME: Contrastive. Learning and Vision Mixture of Experts for Encrypted Traffic Classification, IEEE Transactions on Network and Service Management, 2026, 23: 1422-1434. （SCI, JCR一区）

[6] Saihua Cai, Han Tang, Jinfu Chen*, Tianxiang Lv, et.al. GSA-DT: A Malicious Traffic Detection Model Based on Graph Self-Attention Network and Decision Tree, IEEE Transactions on Network and Service Management, 2025, 22(2): 2059-2073. (SCI, JCR一区)

[7] Jinfu Chen, Zhehao Li, Jiaping Xu, Saihua Cai, Jian Sun, Rexford Nii Ayitey Sosu, Jiming Chen. DP-S3: software defect prediction through feature fusion with syntax trees, program slices and standard features. The Computer Journal, 69(3): 470-491 (2026) （SCI，CCF B类期刊）

[8] Zhehao Li, Jinfu Chen^∗, Xiaodong Xie, Tsong Yueh Chen, Saihua Cai: SAME: A Similarity Analysis Method for Evaluating Metamorphic Relations in Testing AI systems. Information and Software Technology, 194: 108069 (2026) （SCI，CCF B类期刊）

[9] Jingyi Chen, Jinfu Chen^∗, Saihua Cai, Shengran Wang, Xingquan Mao: SiftFuzz: Boosting structural diversity via efficient seed fusion. Information and Software Technology, 195: 108095 (2026) （SCI，CCF B类期刊）

[10] Mukhtar Ahmed, Jinfu Chen^∗, Ernest Akpaku, Ali Bux: MAGNN: Multi-scale adaptive graph neural networks with contrastive learning for malicious network traffic detection. Journal of Parallel and Distributed Computing, 211: 105240 (2026) （SCI，CCF B类期刊）

[11] Jinfu Chen, Wenjun Feng, Saihua Cai, Xingquan Mao, Zhixiang Zhang, Jingyi Chen, Yisong Liu: DEzzer: Efficient Fuzzing Mutation Scheduling Based on Differential Evolution. Journal of Systems and Software, 234: 112740 (2026) （SCI，CCF B类期刊）

[12] Wen Zhang, Jinfu Chen^∗, Saihua Cai, Kun Wang, Yisong Liu, Haotong Ding: A novel seed scheduling scheme using Thompson sampling for coverage-guided greybox fuzzing. Journal of Systems and Software, 236: 112794 (2026) （SCI，CCF B类期刊）

[13] Jinfu Chen, Jinyu Mu, Saihua Cai, Jiapeng Zhou, Ziyan Liu, Xinping Shi: DATVD: A novel vulnerability detection method based on dynamic attention and hybrid convolutional pooling. Science of Computer Programming, 251: 103443 (2026) （SCI，CCF B类期刊）

[14] Ernest Akpaku, Jinfu Chen^∗, Mukhtar Ahmed, William Leslie Brown-Acquaye, Francis Kwadzo Agbenyegah, Rexford Nii Ayitey Sosu: Detecting encrypted malicious traffic with HEAT: a header-focused deep learning approach. The Computer Journal, 68(12): 2031-2058 (2025) （SCI，CCF B类期刊）

[15] Mukhtar Ahmed, Jinfu Chen^∗, Ernest Akpaku, Rexford Nii Ayitey Sosu: MTCR-AE: A Multiscale Temporal Convolutional Recurrent Autoencoder for unsupervised malicious network traffic detection. Computer Networks, 261: 111147 (2025) （SCI，CCF B类期刊）

[16] Ernest Akpaku, Jinfu Chen^∗, Mukhtar Ahmed, Francis Kwadzo Agbenyegah, William Leslie Brown-Acquaye: RAGN: Detecting unknown malicious network traffic using a robust adaptive graph neural network. Computer Networks, 262: 111184 (2025) （SCI，CCF B类期刊）

[17] Mukhtar Ahmed, Jinfu Chen^∗, Ernest Akpaku, Ajmal Latif: BiRNN-SA: Context-aware malicious network traffic detection using self-attentive bidirectional RNNs. Computer Networks, 272: 111658 (2025) （SCI，CCF B类期刊）

[18] Ernest Akpaku, Jinfu Chen^∗, Mukhtar Ahmed, Rexford Nii Ayitey Sosu, Francis Kwadzo Agbenyegah, Dominic Kofi Louis: eBiTCN: Efficient bidirectional temporal convolution network for encrypted malicious network traffic detection. Journal of Computer Security, 33(3): 180-211 (2025) （SCI，CCF B类期刊）

[19] Jinfu Chen, Jiapeng Zhou, Wei Lin, Dave Towey, Saihua Cai, Haibo Chen, Jinfu Chen, Yemin Yin: A Novel Vulnerability-Detection Method Based on the Semantic Features of Source Code and the LLVM Intermediate Representation. Journal of Software: Evolution and Process, 37(5) (2025) （SCI，CCF B类期刊）

[20] Haibo Chen, Jinfu Chen^∗, Yucheng Wu, Saihua Cai, Bilal Ahmad, Rubing Huang, Shengran Wang, Chi Zhang: DialTest-EA: An Enhanced Fuzzing Approach With Energy Adjustment for Dialogue Systems via Metamorphic Testing. Software Testing, Verification & Reliability, 35(1) (2025) （SCI，CCF B类期刊）

[21] Jinfu Chen, Haodi Xie, Saihua Cai, Luo Song, Bo Geng, Wuhao Guo: GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism. Computers & Security, 147: 104083 (2024) （SCI，CCF B类期刊）

[22] Jinfu Chen, Zian Zhao, Saihua Cai, Xiao Chen, Bilal Ahmad, Luo Song, Kun Wang: DCM-GIFT: An Android malware dynamic classification method based on gray-scale image and feature-selection tree. Information and Software Technology, 176: 107560 (2024) （SCI，CCF B类期刊）

[23] Jinfu Chen, Weijia Wang, Bo Liu, Saihua Cai, Dave Towey, Shengran Wang: Hybrid semantics-based vulnerability detection incorporating a Temporal Convolutional Network and Self-attention Mechanism. Information and Software Technology, 171: 107453 (2024) （SCI，CCF B类期刊）

[24] Jinfu Chen, Jingyi Chen, Lili Zhu, Chengying Mao, Qihao Bao, Rubing Huang: L’OP-ART: A linear-time adaptive random testing algorithm for object-oriented programs. Journal of Systems and Software, 211: 111970 (2024) （SCI，CCF B类期刊）

[25] Chi Zhang, Xiaoli Wang, Jinfu Chen*, Saihua Cai, Rexford Nii Ayitey Sosu. A Novel Defect Prediction Method Based on Semantic Feature Enhancement. Journal of Software: Evolution and Process, 2024: e2674.（SCI，CCF B 类期刊）

[26] Jinfu Chen, Yemin Yin, Saihua Cai, Weijia Wang, Shengran Wang, Jiming Chen. iGnnVD: A novel software vulnerability detection model based on integrated graph neural networks. Science of Computer Programming, 2024.（SCI，CCF B 类期刊）

[27] Jinfu Chen, Jiaping Xu, Saihua Cai, et al. Software Defect Prediction Approach based on A Diversity Ensemble Combined with Neural Network. IEEE Transactions on Reliability, 2024: 10423566.（SCI，JCR一区）

[28] Chi Zhang, Jinfu Chen*, Saihua Cai, Wen Zhang, Rexford Nii Ayitey Sosu, Haibo Chen. TR-Fuzz: A Syntax Valid Tool for Fuzzing C Compilers. Science of Computer Programming, 2024.（SCI，CCF B 类期刊）

[29] Jinfu Chen, Yuechao Gu, Saihua Cai*, Haibo Chen, Jingyi Chen: A novel test case prioritization approach for black-box testing based on K-medoids clustering. Journal of Software: Evolution and Process, 36(4) (2024) （SCI，CCF B 类期刊）

[30] Jinfu Chen, Luo Song, Saihua Cai, Haodi Xie, Shang Yin, Bilal Ahmad: TLS-MHSA: An Efficient Detection Model for Encrypted Malicious Traffic based on Multi-Head Self-Attention Mechanism. ACM Transactions on Privacy and Security. 26(4): 44:1-44:21 (2023)（SCI，CCF B类期刊）

[31] Jinfu Chen, Wei Lin, Saihua Cai, Yemin Yin, Haibo Chen, Dave Towey: BiTCN_DRSN: An effective software vulnerability detection model based on an improved temporal convolutional network. Journal of Systems & Software. 204: 111772 (2023) （SCI，CCF B类期刊）

[32] Jinfu Chen, Tianxiang Lv, Saihua Cai*, et al. A novel detection model for abnormal network traffic based on bidirectional temporal convolutional network. Information and Software Technology, 2023, 157:107166.（SCI，CCF B类期刊）

[33] Jinfu Chen, Jingyi Chen, Saihua Cai*, et al. A Novel Combinatorial Testing Approach with Fuzzing Strategy. Journal of Software: Evolution and Process, 2023, e2537:1-17.（SCI，CCF B类期刊）

[34] Saihua Cai, Jinfu Chen*, Haibo Chen, et al. Minimal rare pattern-based outlier detection approach for uncertain data streams under monotonic constraints. The Computer Journal, 2023, 66(1):16-34.（SCI，CCF B类期刊）

[35] Richard Amankwah, Jinfu Chen*, Heping Song, et al. Bug detection in Java code: An extensive evaluation of static analysis tools using Juliet Test Suites. Software: Practice and Experience, 53(5): 1125-1143 (2023)（SCI，CCF B类期刊）

[36] Jinfu Chen, Shengran Wang, Saihua Cai, et al. A Novel Coverage-gudied Greybox Fuzzing based on Power Schedule Optimization with Time Complexity. The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), 10-14 October 2022 Oakland Center, Michigan, United States.（CCF A类会议）

[37] Haibo Chen, Jinfu Chen*. Coverage-based Greybox Fuzzing with Pointer Monitoring for C Programs. The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), 10-14 October 2022 Oakland Center, Michigan, United States.（CCF A类会议）

[38] Jinfu Chen, Chi Zhang, Saihua Cai, Zufa Zhang, Lu Liu, Longxia Huang: Malware recognition approach based on self-similarity and an improved clustering algorithm. IET Software,16(5): 527-541 (2022) （SCI，CCF-B类期刊）

[39] Jinfu Chen, Haibo Chen, Yuchi Guo, Minmin Zhou, Rubing Huang, Chengying Mao. A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-means Clustering Technique. IEEE Transactions on Emerging Topic in Computational Intelligence, 6(4): 969-981 2022. （SCI, JCR一区）

[40] Saihua Cai, Li Li, Jinfu Chen, Kaiyi Zhao, Gang Yuan, Ruizhi Sun, Rexford Nii Ayitey Sosu, Longxia Huang:MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams. Information Sciences, 591: 195-225 (2022) （SCI，CCF-B类期刊, JCR一区）

[41] Chi Zhang, Jinfu Chen*. Fuzzing Methods Recommendation Based on Feature Vectors. The IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Sun 14 - Sat 20 November 2021 Australia.（CCF A类会议）

[42] Patrick Kwaku Kudjo, Jinfu Chen*. A cost-effective strategy for software vulnerability prediction based on bellwether analysis. 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2019), China, Beijing, July 2019: 424-427.（CCF A类会议）

[43] Patrick Kwaku Kudjo, Jinfu Chen*, Selasie Brown Aformaley, Solomon Mensah. The Effect of Weighted Moving Windows on Security Vulnerability Prediction. The IEEE/ACM International Conference on Automated Software Engineering (ASE 2019) Workshops, 2019: 65-68.（CCF A类会议）

[44] Hilary Ackah-Arthur, Jinfu Chen*, Dave Towey, Michael Omari, Jiaxiang Xi, Rubing Huang. One-Domain-One-Input: Adaptive Random Testing by Orthogonal Recursive Bisection with Restriction. IEEE Transactions on Reliability, 2019, 68(4):1404-1428.（SCI，JCR一区）

[45] Jinfu Chen, Fei-Ching Kuo, Tsong Yueh Chen, Dave Towey, Chenfei Su, Rubing Huang. A Similarity Metric for the Inputs of OO Programs and Its Application in Adaptive Random Testing. IEEE Transactions on Reliability , 2017, 66(2):373-402. (SCI，JCR一区）

[46] Saihua Cai, Jinfu Chen*, Haibo Chen, Chi Zhang, Qian Li, Rexford Nii Ayitey Sosu, Shang Yin: An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints. Information Sciences, 2021, 580: 620-642 .（SCI，CCF-B类期刊, JCR一区）

[47] Saihua Cai, Rubing Huang, Jinfu Chen*, Chi Zhang, Bo Liu, Shang Yin, Ye Geng. An efficient outlier detection method for data streams based on closed frequent patterns by considering anti-monotonic constraints. Information Sciences, 2021, 555:125-146.（SCI，CCF-B类期刊, JCR一区）

[48] Jinfu Chen, Patrick Kwaku Kudjo, Solomon Mensah, Selasie Aformaley Brown, George Akorfu. An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection. Journal of Systems and Software, 2020, 167:1-20.（CCF B类期刊, JCR一区）

[49] Jinfu Chen, Lili Zhu, Tsong Yueh Chen, Dave Towey, Fei-Ching Kuo, Rubing Huang, Yuchi Guo. Test case prioritization for object-oriented software: An adaptive random sequence approach based on clustering. Journal of Systems and Software, Volume 135, 2018, Pages 107-125. (SCI, CCF-B类期刊，JCR一区).

[50] Richard Amankwah, Jinfu Chen*, Patrick Kwaku Kudjo, Dave Towey. An empirical comparison of commercial and open-source web vulnerability scanners. Software: Practice and Experience. 2020, 50(9):1842-1857.（SCI, CCF B类期刊）

[51] Jinfu Chen, Jingyi Chen, Dong Guo. An improved fuzzing approach based on adaptive random testing. IEEE International Symposium on Software Reliability Engineering (ISSRE 2020), 2020, pp.141-146. （CCF B类会议）

[52] Jinfu Chen*, Minmin Zhou, T H Tse, et al. Toward a K-means clustering approach to adaptive random testing for object-oriented software. Science China Information Sciences, 2019, 62(11):219105.（SCI，CCF-A类期刊，卓越重点期刊）

[53] Hilary Ackah-Arthur, Jinfu Chen*, Jiaxiang Xi, Michael Omari, Heping Song, Rubing Huang. A cost-effective adaptive random testing approach by dynamic restriction. IET Software 12(6): 489-497 (2018) (SCI, CCF-B类期刊).

[54] 张文, 陈锦富*, 蔡赛华, 张翅, 刘一松.一种聚类分析驱动种子调度的模糊测试方法.软件学报, 2024,35(7):2204-2223. （ CCF中文T1类）

[55] 陈锦富, 冯乔伟, 蔡赛华, 施登洲, Rexford Nii Ayitey Sosu.基于形式化方法的区块链系统漏洞检测模型.软件学报, 2024,35(9):1-27. （ CCF中文T1类）

[56] 陈锦富, 王震鑫, 蔡赛华, 冯乔伟, 陈宇豪, 王栋杰, 许容天. 一种基于蜕变测试的区块链智能合约安全漏洞检测方法. 通信学报，2023, 44(10):164-176. （CCF中文T1类）

[57] 陈锦富, 赵小磊,刘一松,黄如兵,蔡赛华,郭昱池. 基于形式化单子的第三方构件安全性测试模型及其应用. 计算机学报，2019,42(7):1626-1639. （CCF中文T1类）

[58] 陈锦富,李青,毛澄映,詹永照,黄如兵, 陈加梅. 基于安全规则变异的Web Services安全性测试方法. 计算机学报，2013,36(10):1967-1981. （CCF中文T1类）

  [59] 朱会娟，陈锦富*，李致远, 殷尚男. 基于多特征自适应融合的区块链异常交易检测方法.通信学报, 2021, 42(05):41-50. （CCF中文T1类）

部分授权发明专利

[1] 发明专利：张文；陈锦富；蔡赛华；张翅；刘一松；张子康；一种基于种子聚类分析的模糊调度方法，2023-11-23，中国，2023112341735.

[2] 发明专利：陈锦富;王震鑫;蔡赛华;冯乔伟;施登洲;陈宇豪;许容天;王栋杰; 一种基于蜕变测试的区块链智能合约测试方法, ZL202210106024.X.

[3] 发明专利：蔡赛华;陈锦富;徐波;魏忠旺;林敏; 一种基于最大频繁模式非相似性的异常网络流量检测方法, ZL202210226905.5.

[4] 发明专利：蔡赛华;陈锦富;吕天翔;殷上;宋锣; 一种基于双向时间卷积神经网络的异常网络流量检测方法, ZL202210650965.X.

[5] 发明专利：陈锦富;马亮;蔡赛华;殷上;宋锣; 一种基于多头自注意力机制的漏洞利用攻击加密流量分类方法, ZL202210905960.7.

[6] 发明专利：蔡赛华;赵文军;陈锦富;赵星宇;唐晗;林敏; 一种基于循环生成对抗网络和多头自注意力机制的异常流量检测方法, ZL202311283486.X.

  [7] 发明专利：陈锦富;徐家平;蔡赛华;陈海波;张翅;王小丽;黄创飞；一种结合神经网络的双集成软件缺陷预测方法，ZL202110851712.4.