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Effort-aware cross-project just-in-time defect prediction framework for mobile apps.

, , , , and . Frontiers Comput. Sci., 16 (6): 166207 (2022)

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A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment., , , , , and . COLING, page 5918-5928. International Committee on Computational Linguistics, (2020)Graph4Web: A relation-aware graph attention network for web service classification., , , , , , , and . J. Syst. Softw., (2022)Just-in-time defect prediction for Android apps via imbalanced deep learning model., , , , , and . SAC, page 1447-1454. ACM, (2021)Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set., , , , , , and . ICPC, page 242-252. IEEE, (2021)Extended Abstract of Graph4Web: A Relation-Aware Graph Attention Network for Web Service Classification., , , , , , , and . SANER, page 850. IEEE, (2023)Imbalanced metric learning for crashing fault residence prediction., , , , , , and . J. Syst. Softw., (2020)A compositional model for effort-aware Just-In-Time defect prediction on android apps., , , , , and . IET Softw., 16 (3): 259-278 (2022)DeepInfer: Deep Type Inference from Smart Contract Bytecode., , , , , and . ESEC/SIGSOFT FSE, page 745-757. ACM, (2023)Simplified Deep Forest Model Based Just-in-Time Defect Prediction for Android Mobile Apps., , , , and . IEEE Trans. Reliab., 70 (2): 848-859 (2021)Effort-aware cross-project just-in-time defect prediction framework for mobile apps., , , , and . Frontiers Comput. Sci., 16 (6): 166207 (2022)