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ORCIDXin Xia 0001
Person information
- affiliation: Huawei Technologies Co., Ltd., Hangzhou, China
- affiliation (former): Monash University, Melbourne, Australia
- affiliation (former): University of British Columbia, Vancouver, BC, Canada
- affiliation (PhD 2014): Zhejiang University, College of Computer Science and Technology, China
Other persons with the same name
- Xin Xia — disambiguation page
- Xin Xia 0002 — Tsinghua University, Department of Electronical Engineering, Beijing, China
- Xin Xia 0003 — University of Electronic Science and Technology of China, National Key Lab of Communication, Chengdu, China
- Xin Xia 0004 — Jiangxi Vocational Technical College of Industry and Trade, Nanchang, China
- Xin Xia 0005
![[0000-0003-2760-8940]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2760-8940")
— Beihang University, China - Xin Xia 0006 — Sichuan University, Chengdu, Sichuan, China
- Xin Xia 0007 — University of California Los Angeles, CA, USA (and 2 more)
- Xin Xia 0008 — Huawei Technologies Co., Ltd., Chengdu, China
- Xin Xia 0009 — Huaiyin Institute of Technology, Huaian, China
- Xin Xia 0010 — Agricultural University of Hebei, Baoding, Hebei, China
- Xin Xia 0011 — Jiangnan University, Wuxi, Jiangsu, China
- Xin Xia 0012 — Shanghai University of Electric Power, College of Energy and Mechanical Engineering, China
- Xin Xia 0013 — University of Queensland, Brisbane, Australia
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2020 – today
- 2024
[j130]Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
GGT: Graph-guided testing for adversarial sample detection of deep neural network. Comput. Secur. 140: 103710 (2024)- [j129]Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
App review driven collaborative bug finding. Empir. Softw. Eng. 29(5): 124 (2024) - [j128]Wen Li, Lingfeng Bao, Jiachi Chen, John C. Grundy, Xin Xia, Xiaohu Yang:
Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data. ACM Trans. Internet Techn. 24(2): 8:1-8:26 (2024) - [j127]Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu:
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. 33(1): 20:1-20:25 (2024) - [j126]Jiamou Sun, Zhenchang Xing, Xin Xia, Qinghua Lu, Xiwei Xu, Liming Zhu:
Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods. ACM Trans. Softw. Eng. Methodol. 33(2): 49:1-49:38 (2024) - [j125]Yanming Yang, Xing Hu, Xin Xia, Xiaohu Yang:
The Lost World: Characterizing and Detecting Undiscovered Test Smells. ACM Trans. Softw. Eng. Methodol. 33(3): 59:1-59:32 (2024) - [j124]Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. 33(3): 62:1-62:31 (2024) - [j123]Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo:
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50(2): 296-321 (2024) - [j122]Junxiao Han, Jiahao Zhang, David Lo, Xin Xia, Shuiguang Deng, Minghui Wu:
Understanding Newcomers' Onboarding Process in Deep Learning Projects. IEEE Trans. Software Eng. 50(3): 443-460 (2024) - [j121]Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang:
Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. 50(8): 2178-2199 (2024) - [c180]Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo:
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE 2024: 73:1-73:13 - [c179]Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE 2024: 80:1-80:13 - [c178]Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li:
Towards More Practical Automation of Vulnerability Assessment. ICSE 2024: 148:1-148:13 - [c177]Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. ICSE 2024: 151:1-151:13 - [c176]Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE 2024: 167:1-167:12 - [c175]Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. ICSE 2024: 225:1-225:12 - [c174]Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE 2024: 228:1-228:12 - [c173]Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang:
MUT: Human-in-the-Loop Unit Test Migration. ICSE 2024: 229:1-229:12 - [c172]Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang:
Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE 2024: 230:1-230:12 - [c171]Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia:
Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware 2024 - [c170]Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, Xin Xia:
Exploring and Improving Code Completion for Test Code. ICPC 2024: 137-148 - [c169]Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu:
A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. MSR 2024: 595-606 - [c168]Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li:
Unveil the Mystery of Critical Software Vulnerabilities. SIGSOFT FSE Companion 2024: 138-149 - [c167]Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. SIGSOFT FSE Companion 2024: 306-317 - [c166]Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li:
Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. SANER 2024: 940-951 - [e3]David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu:
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024. ACM 2024 [contents] - [i84]Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR abs/2401.01060 (2024) - [i83]Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. CoRR abs/2402.00657 (2024) - [i82]Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia:
Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR abs/2403.16437 (2024) - [i81]Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. CoRR abs/2404.17964 (2024) - [i80]Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. CoRR abs/2405.02922 (2024) - [i79]SiQi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, XingYu Wang:
Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations. CoRR abs/2405.04861 (2024) - [i78]Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia:
Automating TODO-missed Methods Detection and Patching. CoRR abs/2405.06225 (2024) - [i77]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? CoRR abs/2405.12641 (2024) - [i76]Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou:
A Survey on Modern Code Review: Progresses, Challenges and Opportunities. CoRR abs/2405.18216 (2024) - [i75]Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Enhancing Repository-Level Code Generation with Integrated Contextual Information. CoRR abs/2406.03283 (2024) - [i74]Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun:
Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models. CoRR abs/2406.09701 (2024) - [i73]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Where Are Large Language Models for Code Generation on GitHub? CoRR abs/2406.19544 (2024) - [i72]Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia:
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. CoRR abs/2406.19783 (2024) - [i71]Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li:
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR abs/2407.02824 (2024) - [i70]Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li:
SelfPiCo: Self-Guided Partial Code Execution with LLMs. CoRR abs/2407.16974 (2024) - 2023
- [j120]Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang:
An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. 28(1): 6 (2023) - [j119]Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Li Li, Xin Xia, Marthie Grobler, Yang Xiang:
How Does Visualisation Help App Practitioners Analyse Android Apps? IEEE Trans. Dependable Secur. Comput. 20(3): 2238-2255 (2023) - [j118]Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu:
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023) - [j117]Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, Xiangke Liao:
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. ACM Trans. Softw. Eng. Methodol. 32(2): 34:1-34:27 (2023) - [j116]Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan:
Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust. ACM Trans. Softw. Eng. Methodol. 32(2): 43:1-43:48 (2023) - [j115]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing:
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts. ACM Trans. Softw. Eng. Methodol. 32(3): 80:1-80:42 (2023) - [j114]Qing Huang, Dianshu Liao, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia:
Semantic-Enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse. ACM Trans. Softw. Eng. Methodol. 32(6): 147:1-147:37 (2023) - [j113]Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo:
Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. 32(6): 152:1-152:37 (2023) - [j112]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia:
1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. IEEE Trans. Serv. Comput. 16(3): 1540-1554 (2023) - [j111]Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li:
Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. 49(1): 1-23 (2023) - [j110]Neng Zhang, Ying Zou, Xin Xia, Qiao Huang, David Lo, Shanping Li:
Web APIs: Features, Issues, and Expectations - A Large-Scale Empirical Study of Web APIs From Two Publicly Accessible Registries Using Stack Overflow and a User Survey. IEEE Trans. Software Eng. 49(2): 498-528 (2023) - [j109]Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao:
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. 49(4): 1640-1660 (2023) - [j108]Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49(5): 3289-3304 (2023) - [j107]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo:
Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. 49(7): 3939-3954 (2023) - [j106]Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. 49(8): 4035-4057 (2023) - [j105]Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. IEEE Trans. Software Eng. 49(8): 4196-4212 (2023) - [c165]Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. ICSE 2023: 17-29 - [c164]Sen Fang, Tao Zhang, Youshuai Tan, He Jiang, Xin Xia, Xiaobing Sun:
RepresentThemAll: A Universal Learning Representation of Bug Reports. ICSE 2023: 602-614 - [c163]Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li:
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. ICSE 2023: 957-969 - [c162]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. ICSE 2023: 1495-1507 - [c161]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE 2023: 1946-1957 - [c160]Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan:
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE 2023: 2565-2577 - [c159]Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. ISSTA 2023: 589-600 - [c158]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang:
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE 2023: 129-140 - [c157]Lingxiao Tang, Lingfeng Bao, Xin Xia, Zhongdong Huang:
Neural SZZ Algorithm. ASE 2023: 1024-1035 - [c156]Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang:
Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. ASE 2023: 1111-1122 - [c155]Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo:
Software Architecture in Practice: Challenges and Opportunities. ESEC/SIGSOFT FSE 2023: 1457-1469 - [c154]Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao:
CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE 2023: 1509-1521 - [c153]Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia:
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE 2023: 1611-1622 - [c152]Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia:
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE 2023: 1832-1843 - [e2]Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Xiaohu Yang, Xin Xia:
Proceedings of the 14th Asia-Pacific Symposium on Internetware, Internetware 2023, Hangzhou, China, August 4-6, 2023. ACM 2023 [contents] - [e1]Tao Zhang, Xin Xia, Nicole Novielli:
IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023. IEEE 2023, ISBN 978-1-6654-5278-6 [contents] - [i69]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. CoRR abs/2301.12633 (2023) - [i68]Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. CoRR abs/2302.03924 (2023) - [i67]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR abs/2304.14042 (2023) - [i66]Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao:
CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR abs/2305.10785 (2023) - [i65]Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo:
Multi-Granularity Detector for Vulnerability Fixes. CoRR abs/2305.13884 (2023) - [i64]Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. CoRR abs/2305.17047 (2023) - [i63]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang:
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR abs/2308.08836 (2023) - [i62]Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo:
Software Architecture in Practice: Challenges and Opportunities. CoRR abs/2308.09978 (2023) - [i61]Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia:
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR abs/2308.11237 (2023) - [i60]Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR abs/2308.13775 (2023) - [i59]Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. CoRR abs/2312.03393 (2023) - [i58]Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. CoRR abs/2312.09564 (2023) - [i57]Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. CoRR abs/2312.11013 (2023) - 2022
- [j104]Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang:
How does working from home affect developer productivity? - A case study of Baidu during the COVID-19 pandemic. Sci. China Inf. Sci. 65(4) (2022) - [j103]Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. 54(9): 196:1-196:40 (2022) - [j102]Yanming Yang, Xin Xia, David Lo, John C. Grundy:
A Survey on Deep Learning for Software Engineering. ACM Comput. Surv. 54(10s): 206:1-206:73 (2022) - [j101]Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An exploratory study on the repeatedly shared external links on Stack Overflow. Empir. Softw. Eng. 27(1): 19 (2022) - [j100]Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. 27(4): 91 (2022) - [j99]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022) - [j98]Mojtaba Shahin, Christabel Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia:
How secondary school girls perceive Computational Thinking practices through collaborative programming with the micro: bit. J. Syst. Softw. 183: 111107 (2022) - [j97]Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang:
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. ACM Trans. Internet Techn. 22(2): 52:1-52:27 (2022) - [j96]Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022) - [j95]Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. ACM Trans. Softw. Eng. Methodol. 31(1): 12:1-12:37 (2022) - [j94]Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. 31(1): 15:1-15:46 (2022) - [j93]Jiachi Chen, Xin Xia, David Lo, John C. Grundy:
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. ACM Trans. Softw. Eng. Methodol. 31(2): 30:1-30:37 (2022) - [j92]Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang:
Predictive Models in Software Engineering: Challenges and Opportunities. ACM Trans. Softw. Eng. Methodol. 31(3): 56:1-56:72 (2022) - [j91]Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann:
Correlating Automated and Human Evaluation of Code Documentation Generation Quality. ACM Trans. Softw. Eng. Methodol. 31(4): 63:1-63:28 (2022) - [j90]Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford:
Accessibility in Software Practice: A Practitioner's Perspective. ACM Trans. Softw. Eng. Methodol. 31(4): 66:1-66:26 (2022) - [j89]Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan:
Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. 31(4): 76:1-76:38 (2022) - [j88]Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li:
Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. 48(2): 82-101 (2022) - [j87]Qiang He, Bo Li, Feifei Chen, John C. Grundy, Xin Xia, Yun Yang:
Diversified Third-Party Library Prediction for Mobile App Development. IEEE Trans. Software Eng. 48(2): 150-165 (2022) - [j86]