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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
[2014] HSFal: Effective Fault Localization using Hybrid Spectrum of Full Slices and Execution Slices
Published in Journal of Systems and Software (JSS) —— CCF B, 2014
Recommended citation: Xiaolin Ju, Shujuan Jiang, Xiang Chen, Xingya Wang, Yanmei Zhang, and Heling Cao. "HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices". Journal of Systems and Software, 2014, 90: 3--17
[2017] An Interactive Debugging Framework with Heuristic Graph
Published in the 2017 IEEE International Conference on Software Quality, Reliability, and Security (SATE) , 2017
Recommended citation: Xiaolin Ju, Xiang Chen, Shujuan Jiang, Junyan Qian. "An Interactive Debugging Framework with Heuristic Graph" the 2017 IEEE International Conference on Software Quality, Reliability, and Security (SATE), Harbin, China, 03-04 November, 2017.
[2017] An in-depth study of the efficiency of risk evaluation formulas for multi-fault localization
Published in the 17th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2017) —— CCF C, 2017
Recommended citation: Xiaolin Ju, Xiang Chen, Yibiao Yang, Shujuan Jiang, Junyan Qian, and Baowen Xu. "An in-depth study of the efficiency of risk evaluation formulas for multi-fault localization" the 17th IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), Harbin, China, 03-04 November, 2017
[2020] Fuzzy C-means clustering based multi-fault localization (in Chinese)
Published in Chinese Journal of Computers, 2020
Recommended citation: Xingya Wang, Shujuan Jiang, Pengfei Gao, Kai Lu, Li-Li Bo, Xiaolin Ju, and Yanmei Zhang. "Fuzzy C-means clustering based multi-fault localization". Chinese Journal of Computers, 2020, 43(2): 206-232.
[2020] Mulr4FL: effective fault localization of evolution software based on multivariate logistic regression model
Published in IEEE Access, 2020
Recommended citation: Xiaolin Ju, Jie Qian, Zhihua Chen, Chunyu Zhao, Junyan Qian. "Mulr4FL: effective fault localization of evolution software based on multivariate logistic regression model". IEEE Access, 2020, 8: 207858-207870.
[2021] AGFL: a graph convolutional neural network-based method for fault localization
Published in the 21st IEEE International Conference on Software Quality, Reliability, and Security (QRS 2021) —— CCF C, 2021
Recommended citation: Jie Qian, Xiaolin Ju, Xiang Chen, Hao Shen, Yiheng Shen. "AGFL: a graph convolutional neural network-based method for fault localization." the IEEE 21st International Conference on Software Quality, Reliability, and Security Companion (QRS 2021), Hainan, China, December 6-10, 2021.
[2021] Improving blocking bug pair prediction via hybrid deep learning
Published in the 21st IEEE International Conference on Software Quality, Reliability, and Security (QRS 2021) —— CCF C, 2021
Recommended citation: Zhihua Chen, Xiaolin Ju, Yiheng Shen, Xiang Chen. "Improving blocking bug pair prediction via hybrid deep learning." the 21st IEEE International Conference on Software Quality, Reliability (QRS 2021) - Companion, Hainan, China, December 6-10, 2021
[2022] Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study
Published in Information and Software Technology (IST) —— CCF B., 2022
Recommended citation: Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, and Gan Wang. "Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study". Information and Software Technology (IST), 2022, 150: 106982.
[2022] Hybrid Multiple Deep Learning Models to Boost Blocking Bug Prediction
Published in Journal of Internet Technology (JIT), 2022
Recommended citation: Zhihua Chen, Xiaolin Ju, Haocheng Wang, and Xiang Chen. "Hybrid Multiple Deep Learning Models to Boost Blocking Bug Prediction". Journal of Internet Technology, 2022, 23(5):1099-1107.
[2022] SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval
Published in the 22nd IEEE International Conference on Software Quality, Reliability, and Security (QRS 2022) —— CCF C, 2022
Recommended citation: Shi, Xiangyu, Ju, Xiaolin, Chen, Xiang, Lu, Guilong, Xu, Mengqi. "SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval."the 22nd IEEE International Conference on Software Quality, Reliability, and Security (QRS 2022) - Companion, Guangzhou, China, December 5-9, 2022.
[2022] Blocking bugs identification via binary relevance and logistic regression analysis
Published in 2022 IEEE 9th International Conference on dependable systems and their applications (DSA 2022) —— CCF C, 2022
Recommended citation: Zhihua Chen, Xiaolin Ju, Guilong Lu, Xiang Chen. "Blocking bugs identification via binary relevance and logistic regression analysis" 2022 IEEE 9th International Conference on Dependable Systems and Their Applications (DSA 2022), Wulumuqi, China, August 4-5, 2022.
[2023] GNet4FL: Effective fault localization via graph convolutional neural network
Published in Automated Software Engineering (ASEJ) —— CCF B., 2023
Recommended citation: Jie Qian, Xiaolin Ju, and Xiang Chen. "GNet4FL: Effective fault localization via graph convolutional neural network". Automated Software Engineering, 2023, 30(2): 1--16.
[2023] EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network
Published in the 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2023) —— CCF C, 2023
Recommended citation: Hao Shen, Xiaolin Ju, Xiang Chen, and Guang Yang. "EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network". The 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC 2023), Torino, Italy, June 26-30, 2023.
[2023] An Empirical Study of Adversarial Training in Code Comment Generation
Published in the 35th International Conference on Software Engineering and Knowledge Engineering (SEKE 2023) —— CCF C, 2023
Recommended citation: Yiheng Shen, Xiaolin Ju, Xiang Chen, and Guang Yang. "An Empirical Study of Adversarial Training in Code Comment Generation". The 35th International Conference on Software Engineering and Knowledge Engineering (SEKE 2023), USA, July 1-10, 2023.
[2023] Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study
Published in the 30th Asia-Pacific Software Engineering Conference (APSEC 2023) —— CCF C. , 2023
Recommended citation: Guilong Lu, Xiaolin Ju, Xiang Chen, Shaoyu Yang, Liang Chen, and Hao Shen. "Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study". the 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, Korea, December 4--7, 2023.
[2024] GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning
Published in Journal of Systems and Software (JSS) —— CCF B, 2024
Recommended citation: Guilong Lu, Xiaolin Ju, Xiang Chen, Wenlong Pei, and Zhilong Cai. "GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning". Journal of Systems and Software, 2024, 212: 112031.
[2024] Bash comment generation via data augmentation and semantic‑aware CodeBERT
Published in Automated Software Engineering (ASEJ) —— CCF B, 2024
Recommended citation: Yiheng Shen, Xiaolin Ju, Xiang Chen, and Guang Yang. "Bash comment generation via data augmentation and semantic‑aware CodeBERT". Automated Software Engineering, 2024, 31(1): 1--34.
[2024] ProRLearn: Boosting Prompt Tuning-based Vulnerability Detection by Reinforcement Learning
Published in Automated Software Engineering (ASEJ) —— CCF B, 2024
Recommended citation: Zilong Ren, Xiaolin Ju, Xiang Chen, and Hao Shen. "ProRLearn: Boosting Prompt Tuning-based Vulnerability Detection by Reinforcement Learning". Automated Software Engineering, 2024, 32(2): 1--35.
[2024] Ada4DP: Adversarial Enhanced Dual-attentive Aggregation Learning for Defect Prediction
Published in the 24th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2024) —— CCF C, 2024
Recommended citation: Yucheng Zhang, Chenqiang Shen, Xiaolin Ju, Hao Shen and Xiang Chen. "Ada4DP: Adversarial Enhanced Dual-attentive Aggregation Learning for Defect Prediction." the 24th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2024) - Companion, Cambridge, United Kingdom, July 1-5, 2024.
[2024] 基于缺陷报告降噪和抽象语法树表示的软件缺陷定位方法
Published in 南通大学学报(自然科学版), 2024
Recommended citation: 石翔宇, 鞠小林, and 陈翔. "基于缺陷报告降噪和抽象语法树表示的软件缺陷定位方法". 南通大学学报(自然科学版), 2024, 23(3): 23--33.
[2025] JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction
Published in Information and Software Technology (IST) —— CCF B., 2025
Recommended citation: Xiaolin Ju, Yi Cao, Xiang Chen, Lina Gong, Vaskar Chakma, and Xin Zho. "JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction". Information and Software Technology (IST), 2025, 182: 107706.
[2025] What Drives House Prices? A Linear Regression Approach to Size, Condition, and Features
Published in Journal of Artificial Intelligence and Data Mining(JAIDM) -- EI, 2025
Recommended citation: Xiaolin, Ju and Chakma, Vaskar and Amin, Misbahul and Joy, Arkhid. "What Drives House Prices? A Linear Regression Approach to Size, Condition, and Features". Journal of Artificial Intelligence and Data Mining(JAIDM), 2025, 13(1): 41--51
[2025] Improving Distributed Learning-based Vulnerability Detection via Multi-modal Prompt Tuning
Published in Journal of Systems and Software (JSS) —— CCF B, 2025
Recommended citation: Zilong Ren, Xiaolin Ju, Xiang Chen, and Yubin Qu. "Improving Distributed Learning-based Vulnerability Detection via Multi-modal Prompt Tuning". Journal of Systems and Software, 2025, 226: 112442.
[2025] FedMVA: Enhancing Software Vulnerability Assessment via Federated Multimodal Learning
Published in Journal of Systems and Software (JSS) —— CCF B, 2025
Recommended citation: Qingyun Liu, Xiaolin Ju, Xiang Chen, and Lina Gong. "FedMVA: Enhancing Software Vulnerability Assessment via Federated Multimodal Learning". Journal of Systems and Software, 2025, 228: 112469.
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Paper Writing Tips
Published:
很多初学者同学在投稿的时候经常会出现一些共有的小错误，为了节省大家的时间和帮助大家能够尽快的定位一些小的问题。
teaching
Software Testing (软件测试技术与质量保证)
Undergraduate course, Nantong University, SIST, 2023
This is a description of a teaching experience. You can use markdown like any other post.
Software Modeling (软件建模)
Workshop, Nantong University, SIST, 2023
This is a description of a teaching experience. You can use markdown like any other post.