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Yibiao Yang
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2020 – today
- 2024
- [j25]Yangyang Zhao
, Mingyue Jiang
Towards an understanding of intra-defect associations: Implications for defect prediction. J. Syst. Softw. 207: 111858 (2024) - [j24]Xutong Liu
Towards a framework for reliable performance evaluation in defect prediction. Sci. Comput. Program. 238: 103164 (2024) - [j23]Yuanqing Mei
Cross-version defect prediction using threshold-based active learning. J. Softw. Evol. Process. 36(4) (2024) - [j22]Bin Jia
Six-Dimensional Strain Sensor Based on Fiber Bragg Gratings for Frozen Soil. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j21]Peng Zhang
Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do? ACM Trans. Softw. Eng. Methodol. 33(4): 86:1-86:32 (2024) - [j20]Zhifei Chen
Risky Dynamic Typing-related Practices in Python: An Empirical Study. ACM Trans. Softw. Eng. Methodol. 33(6): 140 (2024) - [j19]Yang Wang
Corrections to "Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving". IEEE Trans. Software Eng. 50(1): 158 (2024) - [i4]Jiayi Lin, Yutao Xie, Yue Yu, Yibiao Yang, Lei Zhang:
Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models. CoRR abs/2406.12326 (2024) - [i3]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
- [j18]Yuanqing Mei, Yi Rong, Shiran Liu, Zhaoqiang Guo, Yibiao Yang, Hongmin Lu, Yutian Tang
Deriving Thresholds of Object-Oriented Metrics to Predict Defect-Proneness of Classes: A Large-Scale Meta-Analysis. Int. J. Softw. Eng. Knowl. Eng. 33(5): 651-695 (2023) - [j17]Zhaoqiang Guo
Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? ACM Trans. Softw. Eng. Methodol. 32(4): 102:1-102:55 (2023) - [j16]Ming Wen
Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis. IEEE Trans. Software Eng. 49(4): 2053-2068 (2023) - [j15]Yang Wang
Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving. IEEE Trans. Software Eng. 49(11): 4964-4987 (2023) - [j14]Zhaoqiang Guo
Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities. IEEE Trans. Software Eng. 49(12): 5154-5188 (2023) - [c19]Chenglin Li, Yangyang Zhao, Yibiao Yang, Yuming Zhou, Liming Nie, Zuohua Ding:
Investigating the Impact of Bug Dependencies on Bug-Fixing Time Prediction. ESEM 2023: 1-12 - [c18]Maolin Sun
Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs. ICSE 2023: 69-81 - [c17]Maolin Sun, Yibiao Yang, Yang Wang, Ming Wen, Haoxiang Jia, Yuming Zhou:
SMT Solver Validation Empowered by Large Pre-Trained Language Models. ASE 2023: 1288-1300 - [c16]Yibiao Yang
Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support. ESEC/SIGSOFT FSE 2023: 670-681 - [c15]Jiangchang Wu
Boosting Compiler Testing via Eliminating Test Programs with Long-Execution-Time. SANER 2023: 593-603 - [i2]Xutong Liu, Shiran Liu, Zhaoqiang Guo, Peng Zhang, Yibiao Yang, Huihui Liu, Hongmin Lu, Yanhui Li, Lin Chen, Yuming Zhou:
Toward a consistent performance evaluation for defect prediction models. CoRR abs/2302.00394 (2023) - 2022
- [j13]Peng Zhang
Mutant Reduction Evaluation: What is There and What is Missing? ACM Trans. Softw. Eng. Methodol. 31(4): 69:1-69:46 (2022) - [j12]Yangyang Zhao
DEPICTER: A Design-Principle Guided and Heuristic-Rule Constrained Software Refactoring Approach. IEEE Trans. Reliab. 71(2): 698-715 (2022) - [j11]Peng Zhang
CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness. IEEE Trans. Software Eng. 48(3): 1067-1096 (2022) - [c14]Chenglin Li, Yangyang Zhao, Yibiao Yang:
An Empirical Study of the Bug Link Rate. QRS 2022: 177-188 - [c13]Jing Yang, Yibiao Yang
Isolating Compiler Optimization Faults via Differentiating Finer-grained Options. SANER 2022: 481-491 - [i1]Peng Zhang, Yang Wang, Xutong Liu, Yibiao Yang, Yanhui Li, Lin Chen, Ziyuan Wang, Chang-Ai Sun, Yuming Zhou:
Test suite effectiveness metric evaluation: what do we know and what should we do? CoRR abs/2204.09165 (2022)
2010 – 2019
- 2019
- [j10]Gongzheng Lu, Lei Xu, Yibiao Yang
Predictive analysis for race detection in software-defined networks. Sci. China Inf. Sci. 62(6): 62101:1-62101:20 (2019) - [c12]Yibiao Yang
Hunting for bugs in code coverage tools via randomized differential testing. ICSE 2019: 488-498 - [c11]Yibiao Yang
Automatic Self-Validation for Code Coverage Profilers. ASE 2019: 79-90 - 2018
- [j9]Huihui Liu, Bixin Li, Yibiao Yang, Wanwangying Ma, Ru Jia:
Exploring the Impact of Code Smells on Fine-Grained Structural Change-Proneness. Int. J. Softw. Eng. Knowl. Eng. 28(10): 1487-1516 (2018) - [j8]Yuming Zhou, Yibiao Yang
How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction. ACM Trans. Softw. Eng. Methodol. 27(1): 1:1-1:51 (2018) - [c10]Huihui Liu, Yijun Yu
Are Smell-Based Metrics Actually Useful in Effort-Aware Structural Change-Proneness Prediction? An Empirical Study. APSEC 2018: 315-324 - 2017
- [j7]Yangyang Zhao, Yibiao Yang
Understanding the value of considering client usage context in package cohesion for fault-proneness prediction. Autom. Softw. Eng. 24(2): 393-453 (2017) - [j6]Yangyang Zhao, Hareton Leung, Yibiao Yang
Towards an understanding of change types in bug fixing code. Inf. Softw. Technol. 86: 37-53 (2017) - [c9]Jinping Liu, Yuming Zhou, Yibiao Yang
Code Churn: A Neglected Metric in Effort-Aware Just-in-Time Defect Prediction. ESEM 2017: 11-19 - [c8]Xiaolin Ju
An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization. QRS Companion 2017: 304-310 - [c7]Yiyang Feng, Wanwangying Ma, Yibiao Yang
An empirical investigation into the cost-effectiveness of test effort allocation strategies for finding faults. SANER 2017: 371-381 - 2016
- [j5]Wanwangying Ma, Lin Chen, Yibiao Yang
Empirical analysis of network measures for effort-aware fault-proneness prediction. Inf. Softw. Technol. 69: 50-70 (2016) - [j4]Yibiao Yang
An empirical investigation into the effect of slice types on slice-based cohesion metrics. Inf. Softw. Technol. 75: 90-104 (2016) - [c6]Yibiao Yang
An empirical study on dependence clusters for effort-aware fault-proneness prediction. ASE 2016: 296-307 - [c5]Yibiao Yang
Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models. SIGSOFT FSE 2016: 157-168 - 2015
- [j3]Yangyang Zhao, Yibiao Yang
An empirical analysis of package-modularization metrics: Implications for software fault-proneness. Inf. Softw. Technol. 57: 186-203 (2015) - [j2]Yibiao Yang
Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study. IEEE Trans. Software Eng. 41(4): 331-357 (2015) - [c4]Changsong Liu, Yangyang Zhao, Yibiao Yang
An AST-Based Approach to Classifying Defects. QRS Companion 2015: 14-21 - [c3]Yaming Tang, Fei Zhao, Yibiao Yang
Predicting Vulnerable Components via Text Mining or Software Metrics? An Effort-Aware Perspective. QRS 2015: 27-36 - [c2]Fei Zhao, Yaming Tang, Yibiao Yang
Is Learning-to-Rank Cost-Effective in Recommending Relevant Files for Bug Localization? QRS 2015: 298-303 - 2014
- [j1]Yuming Zhou, Yibiao Yang
Source code size estimation approaches for object-oriented systems from UML class diagrams: A comparative study. Inf. Softw. Technol. 56(2): 220-237 (2014) - [c1]Yangsong Wu, Yibiao Yang
The Influence of Developer Quality on Software Fault-Proneness Prediction. SERE 2014: 11-19
Coauthor Index
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last updated on 2024-11-28 20:32 CET by the dblp team
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