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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://dblp.org/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
[j131]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)- [j130]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) - [j129]Anita D. Carleton, Davide Falessi, Hongyu Zhang, Xin Xia:
Generative AI: Redefining the Future of Software Engineering. IEEE Softw. 41(6): 34-37 (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) - [c184]Xin Xia, Zhi Jin, Marco Aiello, Dongmei Zhang, Guangtai Liang, Xing Hu:
Software Service Engineering in the Era of Large Language Models. SSE 2024: xxiii - [c183]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 - [c182]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 - [c181]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 - [c180]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 - [c179]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 - [c178]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 - [c177]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 - [c176]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 - [c175]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 - [c174]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 - [c173]Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. ISSTA 2024: 363-375 - [c172]Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li:
SelfPiCo: Self-Guided Partial Code Execution with LLMs. ISSTA 2024: 1389-1401 - [c171]Xiao Yu, Lei Liu, Xing Hu, Jacky Keung, Xin Xia, David Lo:
Practitioners' Expectations on Automated Test Generation. ISSTA 2024: 1618-1630 - [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] - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia:
Automating TODO-missed Methods Detection and Patching. CoRR abs/2405.06225 (2024) - [i84]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) - [i83]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) - [i82]Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Enhancing Repository-Level Code Generation with Integrated Contextual Information. CoRR abs/2406.03283 (2024) - [i81]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) - [i80]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) - [i79]Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia:
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. CoRR abs/2406.19783 (2024) - [i78]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) - [i77]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) - [i76]Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun:
Towards Better Answers: Automated Stack Overflow Post Updating. CoRR abs/2408.09095 (2024) - [i75]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR abs/2409.08692 (2024) - [i74]Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, Xiaohu Yang:
A Rule-Based Approach for UI Migration from Android to iOS. CoRR abs/2409.16656 (2024) - [i73]Yi Gao, Xing Hu, Zirui Chen, Xiaohu Yang, Xin Xia:
Unit Test Generation for Vulnerability Exploitation in Java Third-Party Libraries. CoRR abs/2409.16701 (2024) - [i72]Yi Gao, Xing Hu, Xiaohu Yang, Xin Xia:
Context-Enhanced LLM-Based Framework for Automatic Test Refactoring. CoRR abs/2409.16739 (2024) - [i71]Zhenhao Li, Junkai Chen, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia:
Studying Practitioners' Expectations on Clear Code Review Comments. CoRR abs/2410.06515 (2024) - [i70]Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang:
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities. CoRR abs/2410.13110 (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]