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An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization.

, , , , , and . QRS Companion, page 304-310. IEEE, (2017)

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Improving Blocking Bug Pair Prediction via Hybrid Deep Learning., , , and . QRS Companion, page 727-732. IEEE, (2021)Cost-effective testing based fault localization with distance based test-suite reduction., , , , , and . Sci. China Inf. Sci., 60 (9): 092112:1-092112:15 (2017)Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study., , , , , and . APSEC, page 415-424. IEEE, (2023)EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network., , , and . COMPSAC, page 850-859. IEEE, (2023)Distance-Based Test-Suite Reduction for Efficient Testing-Based Fault Localization., , , , , and . SATE, page 84-89. IEEE, (2016)An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization., , , , , and . QRS Companion, page 304-310. IEEE, (2017)AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization., , , , and . QRS, page 672-680. IEEE, (2021)An Approach for Fault Localization Based on Program Slicing and Bayesian., , , , and . QSIC, page 326-332. IEEE, (2013)An approach of class integration test order determination based on test levels., , , , and . Softw. Pract. Exp., 45 (5): 657-687 (2015)Bash comment generation via data augmentation and semantic-aware CodeBERT., , , and . Autom. Softw. Eng., 31 (1): 30 (June 2024)