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2020 – today
- 2024
- [j43]Deheng Yang, Kui Liu, Yan Lei, Li Li, Huan Xie, Chunyan Liu, Zhenyu Wang, Xiaoguang Mao, Tegawendé F. Bissyandé:
Demystifying API misuses in deep learning applications. Empir. Softw. Eng. 29(2): 45 (2024) - [j42]Zhuo Zhang, Ya Li, Jianxin Xue, Xiaoguang Mao:
Improving fault localization with pre-training. Frontiers Comput. Sci. 18(1): 181205 (2024) - [j41]Zhuo Zhang, Jianxin Xue, Deheng Yang, Xiaoguang Mao:
ContextAug: model-domain failing test augmentation with contextual information. Frontiers Comput. Sci. 18(2): 182202 (2024) - [j40]Zhuo Zhang, Ya Li, Lei Xia, Jianxin Xue, Jiang Wu, Xiaoguang Mao:
An effective fault localization approach for Verilog based on enhanced contexts. Frontiers Comput. Sci. 18(5): 185108 (2024) - [j39]Xin Yi, Hengbiao Yu, Liqian Chen, Xiaoguang Mao, Ji Wang:
FPCC: Detecting Floating-Point Errors via Chain Conditions. Proc. ACM Program. Lang. 8(OOPSLA2): 1504-1531 (2024) - [j38]Haoran Liu, Zhouyang Jia, Shanshan Li, Yan Lei, Yue Yu, Yu Jiang, Xiaoguang Mao, Xiangke Liao:
Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs. Proc. ACM Softw. Eng. 1(FSE): 1796-1818 (2024) - [j37]Jiang Wu, Zhuo Zhang, Deheng Yang, Jianjun Xu, Jiayu He, Xiaoguang Mao:
Knowledge-Augmented Mutation-Based Bug Localization for Hardware Design Code. ACM Trans. Archit. Code Optim. 21(3): 45:1-45:26 (2024) - [j36]Jiang Wu, Zhuo Zhang, Deheng Yang, Jianjun Xu, Jiayu He, Xiaoguang Mao:
Time-Aware Spectrum-Based Bug Localization for Hardware Design Code with Data Purification. ACM Trans. Archit. Code Optim. 21(3): 64:1-64:25 (2024) - [j35]Deheng Yang, Jiayu He, Xiaoguang Mao, Tun Li, Yan Lei, Xin Yi, Jiang Wu:
Strider: Signal Value Transition-Guided Defect Repair for HDL Programming Assignments. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1594-1607 (2024) - [j34]Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao:
Fusing Code Searchers. IEEE Trans. Software Eng. 50(7): 1852-1866 (2024) - [c74]Shezheng Song, Shan Zhao, Chengyu Wang, Tianwei Yan, Shasha Li, Xiaoguang Mao, Meng Wang:
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking. AAAI 2024: 19008-19016 - [c73]Kangchen Zhu, Zhiliang Tian, Jingyu Wei, Ruifeng Luo, Yiping Song, Xiaoguang Mao:
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. LREC/COLING 2024: 15384-15397 - [c72]Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao:
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE 2024: 39:1-39:13 - [c71]Rulin Xu, Luohui Chen, Ruyi Zhang, Yuanliang Zhang, Wei Xiao, Haifang Zhou, Xiaoguang Mao:
Accelerating Static Null Pointer Dereference Detection with Parallel Computing. Internetware 2024 - [c70]Bo Lin, Shangwen Wang, Ming Wen, Liqian Chen, Xiaoguang Mao:
One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair. ISSTA 2024: 1554-1566 - [c69]Shezheng Song, Shasha Li, Jie Yu, Shan Zhao, Xiaopeng Li, Jun Ma, Xiaodong Liu, Zhuo Li, Xiaoguang Mao:
DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model. PRCV (5) 2024: 187-200 - [i18]Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao:
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR abs/2403.16362 (2024) - [i17]Shezheng Song, Shasha Li, Shan Zhao, Xiaopeng Li, Chengyu Wang, Jie Yu, Jun Ma, Tianwei Yan, Bin Ji, Xiaoguang Mao:
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking. CoRR abs/2404.04818 (2024) - [i16]Shezheng Song, Shasha Li, Shan Zhao, Chengyu Wang, Xiaopeng Li, Jie Yu, Qian Wan, Jun Ma, Tianwei Yan, Wentao Ma, Xiaoguang Mao:
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment. CoRR abs/2406.00017 (2024) - [i15]Shezheng Song, Shasha Li, Jie Yu, Shan Zhao, Xiaopeng Li, Jun Ma, Xiaodong Liu, Zhuo Li, Xiaoguang Mao:
DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model. CoRR abs/2407.12019 (2024) - 2023
- [j33]Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, Xiaoguang Mao:
Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network. Proc. ACM Program. Lang. 7(OOPSLA2): 486-515 (2023) - [j32]Deheng Yang, Yan Lei, Xiaoguang Mao, Yuhua Qi, Xin Yi:
Seeing the Whole Elephant: Systematically Understanding and Uncovering Evaluation Biases in Automated Program Repair. ACM Trans. Softw. Eng. Methodol. 32(3): 65:1-65:37 (2023) - [j31]Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu:
Influential Global and Local Contexts Guided Trace Representation for Fault Localization. ACM Trans. Softw. Eng. Methodol. 32(3): 78:1-78:27 (2023) - [j30]Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawendé F. Bissyandé, Xiaoguang Mao:
Pre-implementation Method Name Prediction for Object-oriented Programming. ACM Trans. Softw. Eng. Methodol. 32(6): 157:1-157:35 (2023) - [j29]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) - [j28]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) - [c68]Huan Xie, Maojin Li, Yan Lei, Jian Hu, Shanshan Li, Xiaoguang Mao, Yue Yu:
On the Reliability of Coverage Data for Fault Localization. APSEC 2023: 61-70 - [c67]Rulin Xu, Xiaoguang Mao, Luohui Chen:
P-DATA: A Task-Level Parallel Framework for Dependency-Aware Value Flow Taint Analysis. APSEC 2023: 249-258 - [c66]Jiang Wu, Yan Lei, Zhuo Zhang, Xiankai Meng, Deheng Yang, Pan Li, Jiayu He, Xiaoguang Mao:
Mantra: Mutation Testing of Hardware Design Code Based on Real Bugs. DAC 2023: 1-6 - [c65]Jianjun Xu, Jiayu He, Jingyan Zhang, Deheng Yang, Jiang Wu, Xiaoguang Mao:
Validating the Redundancy Assumption for HDL from Code Clone's Perspective. ISPD 2023: 247-255 - [c64]Jifeng Xuan, Qi Xin, Liqian Chen, Xiaoguang Mao:
Potential Solutions to Challenges in C Program Repair: A Practical Perspective. ASE 2023: 1963-1968 - [c63]Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao:
Natural Language to Code: How Far Are We? ESEC/SIGSOFT FSE 2023: 375-387 - [c62]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 - [i14]Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao:
An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. CoRR abs/2304.11384 (2023) - [i13]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) - [i12]Shezheng Song, Shan Zhao, Chengyu Wang, Tianwei Yan, Shasha Li, Xiaoguang Mao, Meng Wang:
A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking. CoRR abs/2312.11816 (2023) - [i11]Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao:
Enhancing Code Intelligence Tasks with ChatGPT. CoRR abs/2312.15202 (2023) - 2022
- [j27]Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Automated regression unit test generation for program merges. Sci. China Inf. Sci. 65(9): 1-2 (2022) - [j26]Bo Lin, Shangwen Wang, Ming Wen, Xiaoguang Mao:
Context-Aware Code Change Embedding for Better Patch Correctness Assessment. ACM Trans. Softw. Eng. Methodol. 31(3): 51:1-51:29 (2022) - [c61]Jiang Wu, Zhuo Zhang, Deheng Yang, Xiankai Meng, Jiayu He, Xiaoguang Mao, Yan Lei:
Fault Localization for Hardware Design Code with Time-Aware Program Spectrum. ICCD 2022: 537-544 - [c60]Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao:
A Universal Data Augmentation Approach for Fault Localization. ICSE 2022: 48-60 - [c59]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia:
Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. ICSME 2022: 199-210 - [c58]Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, Tegawendé F. Bissyandé:
Peeler: Learning to Effectively Predict Flakiness without Running Tests. ICSME 2022: 257-268 - [c57]Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao:
Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. ASE 2022: 83:1-83:13 - [c56]Deheng Yang, Xiaoguang Mao, Liqian Chen, Xuezheng Xu, Yan Lei, David Lo, Jiayu He:
TransplantFix: Graph Differencing-based Code Transplantation for Automated Program Repair. ASE 2022: 107:1-107:13 - [i10]Kangchen Zhu, Zhiliang Tian, Ruifeng Luo, Xiaoguang Mao:
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. CoRR abs/2212.09670 (2022) - 2021
- [j25]Haoran Liu, Yue Yu, Shanshan Li, Mingyang Geng, Xiaoguang Mao, Xiangke Liao:
How to cherry pick the bug report for better summarization? Empir. Softw. Eng. 26(6): 119 (2021) - [j24]Deheng Yang, Kui Liu, Dongsun Kim, Anil Koyuncu, Kisub Kim, Haoye Tian, Yan Lei, Xiaoguang Mao, Jacques Klein, Tegawendé F. Bissyandé:
Where were the repair ingredients for Defects4j bugs? Empir. Softw. Eng. 26(6): 122 (2021) - [j23]Deheng Yang, Yuhua Qi, Xiaoguang Mao, Yan Lei:
Evaluating the usage of fault localization in automated program repair: an empirical study. Frontiers Comput. Sci. 15(1): 151202 (2021) - [j22]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Xiaohong Zhang:
A study of effectiveness of deep learning in locating real faults. Inf. Softw. Technol. 131: 106486 (2021) - [j21]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Junhao Wen:
Improving deep-learning-based fault localization with resampling. J. Softw. Evol. Process. 33(3) (2021) - [c55]Tun Li, Wanwei Liu, Liqian Chen, Xiaoguang Mao:
On Enhancing Application-Ability Training in Discrete Mathematics. FIE 2021: 1-5 - [c54]Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, Xiaoguang Mao:
Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques. ISSRE 2021: 378-389 - [c53]Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé:
Automated Comment Update: How Far are We? ICPC 2021: 36-46 - [c52]Shangwen Wang, Ming Wen, Bo Lin, Xiaoguang Mao:
Lightweight global and local contexts guided method name recommendation with prior knowledge. ESEC/SIGSOFT FSE 2021: 741-753 - [c51]Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan:
Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair. SANER 2021: 96-107 - [c50]Yihao Qin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé:
On the Impact of Flaky Tests in Automated Program Repair. SANER 2021: 295-306 - [i9]Shangwen Wang, Kui Liu, Bo Lin, Li Li, Jacques Klein, Xiaoguang Mao, Tegawendé F. Bissyandé:
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements. CoRR abs/2111.07739 (2021) - 2020
- [c49]Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao:
Understanding the Non-Repairability Factors of Automated Program Repair Techniques. APSEC 2020: 71-80 - [c48]Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon:
On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. ICSE 2020: 615-627 - [c47]Tao Ji, Liqian Chen, Xin Yi, Xiaoguang Mao:
Understanding Merge Conflicts and Resolutions in Git Rebases. ISSRE 2020: 70-80 - [c46]Haoran Liu, Yue Yu, Shanshan Li, Yong Guo, Deze Wang, Xiaoguang Mao:
BugSum: Deep Context Understanding for Bug Report Summarization. ICPC 2020: 94-105 - [c45]Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, Hai Jin:
Automated Patch Correctness Assessment: How Far are We? ASE 2020: 968-980 - [i8]Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Automated Regression Unit Test Generation for Program Merges. CoRR abs/2003.00154 (2020) - [i7]Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon:
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. CoRR abs/2008.00914 (2020) - [i6]Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Evolutionary Conflict Checking. CoRR abs/2009.10340 (2020)
2010 – 2019
- 2019
- [j20]Shangwen Wang, Xiaoguang Mao, Xin Yi:
Dissection on Java Organs in GitHub Repositories. IEEE Access 7: 62561-62576 (2019) - [j19]Zhuo Zhang, Yan Lei, Jianjun Xu, Xiaoguang Mao, Xi Chang:
TFIDF-FL: Localizing Faults Using Term Frequency-Inverse Document Frequency and Deep Learning. IEICE Trans. Inf. Syst. 102-D(9): 1860-1864 (2019) - [j18]Xin Yi, Liqian Chen, Xiaoguang Mao, Tao Ji:
Efficient automated repair of high floating-point errors in numerical libraries. Proc. ACM Program. Lang. 3(POPL): 56:1-56:29 (2019) - [c44]Shangwen Wang, Ming Wen, Xiaoguang Mao, Deheng Yang:
Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques. EASE 2019: 260-266 - [c43]Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao:
How Different Is It Between Machine-Generated and Developer-Provided Patches? : An Empirical Study on the Correct Patches Generated by Automated Program Repair Techniques. ESEM 2019: 1-12 - [c42]Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo:
Multi-Location Program Repair Strategies Learned from Successful Experience (S). SEKE 2019: 713-777 - [c41]Zhuo Zhang, Yan Lei, Xiaoguang Mao, Panpan Li:
CNN-FL: An Effective Approach for Localizing Faults using Convolutional Neural Networks. SANER 2019: 445-455 - [i5]Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao:
How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques. CoRR abs/1906.03447 (2019) - 2018
- [j17]Shangwen Wang, Xiaoguang Mao, Yue Yu:
An Initial Step Towards Organ Transplantation Based on GitHub Repository. IEEE Access 6: 59268-59281 (2018) - [j16]Yan Lei, Chengnian Sun, Xiaoguang Mao, Zhendong Su:
How test suites impact fault localisation starting from the size. IET Softw. 12(3): 190-205 (2018) - [c40]Tao Ji, Jinkun Pan, Liqian Chen, Xiaoguang Mao:
Identifying Supplementary Bug-fix Commits. COMPSAC (1) 2018: 184-193 - [c39]Anbang Guo, Xiaoguang Mao, Deheng Yang, Shangwen Wang:
An Empirical Study on the Effect of Dynamic Slicing on Automated Program Repair Efficiency. ICSME 2018: 554-558 - [c38]Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu:
A Hybrid Approach for Tag Hierarchy Construction. ICSR 2018: 59-75 - [c37]Deheng Yang, Yuhua Qi, Xiaoguang Mao:
Evaluating the Strategies of Statement Selection in Automated Program Repair. SATE 2018: 33-48 - [i4]Shangwen Wang, Xiaoguang Mao, Yue Yu:
An Initial Step Towards Organ Transplantation Based on GitHub Repository. CoRR abs/1810.04825 (2018) - [i3]Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo:
Multi-Location Program Repair: Roads Ahead. CoRR abs/1810.12556 (2018) - [i2]Shangwen Wang, Ming Wen, Deheng Yang, Xiaoguang Mao:
Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques. CoRR abs/1812.05370 (2018) - 2017
- [j15]Zhuo Zhang, Yan Lei, Qingping Tan, Xiaoguang Mao, Ping Zeng, Xi Chang:
Deep Learning-Based Fault Localization with Contextual Information. IEICE Trans. Inf. Syst. 100-D(12): 3027-3031 (2017) - [j14]Binbin Liu, Wanwei Liu, Xiaoguang Mao, Wei Dong:
无人驾驶汽车决策系统的规则正确性验证 (Correctness Verification of Rules for Unmanned Vehicles' Decision System). 计算机科学 44(4): 72-74 (2017) - [c36]Xin Yi, Liqian Chen, Xiaoguang Mao, Tao Ji:
Efficient Global Search for Inputs Triggering High Floating-Point Inaccuracies. APSEC 2017: 11-20 - [c35]Yan Lei, Xiaoguang Mao, Min Zhang, Jingan Ren, Yinhua Jiang:
Toward Understanding Information Models of Fault Localization: Elaborate is Not Always Better. COMPSAC (1) 2017: 57-66 - [c34]Jinkun Pan, Xiaoguang Mao:
Detecting DOM-Sourced Cross-Site Scripting in Browser Extensions. ICSME 2017: 24-34 - [c33]Deheng Yang, Yuhua Qi, Xiaoguang Mao:
An Empirical Study on the Usage of Fault Localization in Automated Program Repair. ICSME 2017: 504-508 - [c32]Xin Yi, Liqian Chen, Xiaoguang Mao, Tao Ji:
Automated Repair of High Inaccuracies in Numerical Programs. ICSME 2017: 514-518 - 2016
- [c31]Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi:
Automated Program Repair by Using Similar Code Containing Fix Ingredients. COMPSAC 2016: 197-202 - [c30]Weishi Li, Xiaoguang Mao, Jianjun Qiao:
Using Test Cases Grouping and Iteration Repair to Fix Multi-points Bug. ICMIP 2016: 89-94 - [c29]Ang Li, Yan Lei, Xiaoguang Mao:
Towards More Accurate Fault Localization: An Approach Based on Feature Selection Using Branching Execution Probability. QRS 2016: 431-438 - [c28]Jinkun Pan, Xiaoguang Mao:
DomXssMicro: A Micro Benchmark for Evaluating DOM-Based Cross-Site Scripting Detection. Trustcom/BigDataSE/ISPA 2016: 208-215 - 2015
- [j13]Ang Li, Xiaoguang Mao, Yan Lei, Tao Ji:
Fault Localization Using Failure-Related Contexts for Automatic Program Repair. IEICE Trans. Inf. Syst. 98-D(4): 955-959 (2015) - [j12]Chengsong Wang, Xiaoguang Mao, Yan Lei, Peng Zhang:
Optimization Methods for Nop-Shadows Typestate Analysis. IEICE Trans. Inf. Syst. 98-D(6): 1213-1227 (2015) - [j11]Ang Li, Xiaoguang Mao, Yan Lei:
面向自动修复并融合失效场景的缺陷定位方法 (Fault Localization Using Failure-related Contexts for Automatic Program Repair). 计算机科学 42(12): 102-104 (2015) - [c27]Zizhan Luo, Xiaoguang Mao, Ang Li:
An Exploratory Research of GitHub Based on Graph Model. FCST 2015: 96-103 - [c26]Qiang Wang, Yan Lei, Simon Bliudze, Xiaoguang Mao:
Automatic Fault Localization for BIP. SETTA 2015: 277-283 - 2014
- [j10]Zhuo Zhang, Xiaoguang Mao, Yan Lei, Peng Zhang:
Enriching Contextual Information for Fault Localization. IEICE Trans. Inf. Syst. 97-D(6): 1652-1655 (2014) - [j9]Xiaoguang Mao, Xianping Tao:
Editorial: Internetware of the Age. Int. J. Softw. Informatics 8(1): 19-20 (2014) - [j8]Wanwei Liu, Rui Wang, Xianjin Fu, Ji Wang, Wei Dong, Xiaoguang Mao:
Counterexample-Preserving Reduction for Symbolic Model Checking. J. Appl. Math. 2014: 702165:1-702165:13 (2014) - [j7]Xiaoguang Mao, Yan Lei, Ziying Dai, Yuhua Qi, Chengsong Wang:
Slice-based statistical fault localization. J. Syst. Softw. 89: 51-62 (2014) - [j6]Ziying Dai, Xiaoguang Mao, Liqian Chen, Yan Lei:
Automatic recovery from resource exhaustion exceptions by collecting leaked resources. J. Zhejiang Univ. Sci. C 15(8): 622-635 (2014) - [c25]Jinkun Pan, Xiaoguang Mao:
An Empirical Study on Interaction Factors Influencing Bug Reopenings. APSEC (2) 2014: 39-42 - [c24]Yuhua Qi, Xiaoguang Mao, Yan Lei, Ziying Dai, Chengsong Wang:
The strength of random search on automated program repair. ICSE 2014: 254-265 - [c23]Weishi Li, Xiaoguang Mao:
Alleviating the Impact of Coincidental Correctness on the Effectiveness of SFL by Clustering Test Cases. TASE 2014: 66-69 - [c22]Wanwei Liu, Xiaoguang Mao, Geguang Pu, Rui Wang:
Combining Syntactic and Semantic Encoding for LTL Bounded Model Checking. TASE 2014: 82-89 - 2013
- [j5]Ziying Dai, Xiaoguang Mao:
Light-weight resource leak testing based on finalisers. IET Softw. 7(6): 308-316 (2013) - [j4]Ziying Dai, Xiaoguang Mao, Yan Lei, Xiaomin Wan, Kerong Ben:
Resco: Automatic Collection of Leaked Resources. IEICE Trans. Inf. Syst. 96-D(1): 28-39 (2013) - [j3]Rui Wang, Wanwei Liu, Tun Li, Xiaoguang Mao, Ji Wang:
Bounded Model Checking of ETL Cooperating with Finite and Looping Automata Connectives. J. Appl. Math. 2013: 462532:1-462532:12 (2013) - [c21]Yuhua Qi, Xiaoguang Mao, Yan Lei, Ziying Dai, Yudong Qi, Chengsong Wang:
Empirical Effectiveness Evaluation of Spectra-Based Fault Localization on Automated Program Repair. COMPSAC 2013: 828-829 - [c20]Yuhua Qi, Xiaoguang Mao, Yan Lei:
Efficient Automated Program Repair through Fault-Recorded Testing Prioritization. ICSM 2013: 180-189 - [c19]Wanwei Liu, Rui Wang, Xianjin Fu, Ji Wang, Wei Dong, Xiaoguang Mao:
Counterexample-Preserving Reduction for Symbolic Model Checking. ICTAC 2013: 249-266 - [c18]Ziying Dai, Xiaoguang Mao, Liqian Chen, Yan Lei, Yi Zhang:
Finding related events for specification mining. ISSRE (Supplemental Proceedings) 2013: 1-2 - [c17]Yuhua Qi, Xiaoguang Mao, Yan Lei, Chengsong Wang:
Using automated program repair for evaluating the effectiveness of fault localization techniques. ISSTA 2013: 191-201 - [c16]Tun Li, Wanwei Liu, Xiaoguang Mao, Huiping Zhou:
Introduction to programming: science or art? ITiCSE 2013: 324 - [c15]Yan Lei, Xiaoguang Mao, Tsong Yueh Chen:
Backward-Slice-Based Statistical Fault Localization without Test Oracles. QSIC 2013: 212-221 - [c14]Chengsong Wang, Zhenbang Chen, Xiaoguang Mao:
Optimizing Nop-shadows Typestate Analysis by Filtering Interferential Configurations. RV 2013: 269-284 - [c13]Ziying Dai, Xiaoguang Mao, Yan Lei, Liqian Chen:
Leveraging specifications of subcomponents to mine precise specifications of composite components. WCRE 2013: 162-171 - [e1]Hong Mei, Jian Lv, Xiaoguang Mao:
Proceedings of the 5th Asia-Pacific Symposium on Internetware, Internetware 2013, Changsha, China, October 23-24, 2013. ACM 2013, ISBN 978-1-4503-2369-7 [contents] - [i1]Wanwei Liu, Rui Wang, Xianjin Fu, Ji Wang, Wei Dong, Xiaoguang Mao:
Counterexample-Preserving Reduction for Symbolic Model Checking. CoRR abs/1301.3299 (2013) - 2012
- [j2]Yuhua Qi, Xiaoguang Mao, Yanjun Wen, Ziying Dai, Bin Gu:
More efficient automatic repair of large-scale programs using weak recompilation. Sci. China Inf. Sci. 55(12): 2785-2799 (2012) - [j1]Yan Lei, Xiaoguang Mao, Ziying Dai, Dengping Wei:
Effective Fault Localization Approach Using Feedback. IEICE Trans. Inf. Syst. 95-D(9): 2247-2257 (2012) - [c12]Ziying Dai, Xiaoguang Mao, Yuhua Qi, Kerong Ben:
Light-Weight Test Oracles for Resource Leaks Based on Finalizers. APSEC Workshops 2012: 73-79 - [c11]Yan Lei, Xiaoguang Mao, Ziying Dai, Chengsong Wang:
Effective Statistical Fault Localization Using Program Slices. COMPSAC 2012: 1-10 - [c10]Yuhua Qi, Xiaoguang Mao, Yan Lei:
Making automatic repair for large-scale programs more efficient using weak recompilation. ICSM 2012: 254-263 - [c9]Xiaomin Wan, Xiaoguang Mao, Ziying Dai:
Mining and checking web services behavior. INDIN 2012: 1004-1009 - [c8]Jie Chen, Xiaoguang Mao:
Bodhi: Detecting Buffer Overflows with a Game. SERE (Companion) 2012: 168-173 - 2011
- [c7]Yan Lei, Xiaoguang Mao, Xiaomin Wan, Chengsong Wang:
Iterative Feedback-Based Fault Localization Approach. EUROMICRO-SEAA 2011: 349-356 - [c6]Xiaoguang Mao, Bing Xie:
The 2nd International Workshop on Software Trustworthiness (SoTrust2011). ICSR 2011: 240-241 - 2010
- [c5]Gang Lu, Huaimin Wang, Xiaoguang Mao:
Using ELECTRE TRI Outranking Method to Evaluate Trustworthy Software. ATC 2010: 219-227 - [c4]Ziying Dai, Xiaoguang Mao, Dianlin Wang, Donghong Liu, Jie Zhang:
Checking Compliance to Coding Standards for x86 Executables. UIC/ATC Workshops 2010: 449-455
2000 – 2009
- 2009
- [c3]Tengfei He, Xiaoguang Mao:
Research on Parallelization of Aspect-Oriented Program. DASC 2009: 478-482 - 2004
- [c2]Xiaoguang Mao, John May:
Reliability specification for component-based software. IASTED Conf. on Software Engineering and Applications 2004: 275-281 - 2003
- [c1]Xiaoguang Mao, Yongjin Deng:
A General Model for Component-Based Software Reliability. EUROMICRO 2003: 395-398
Coauthor Index
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