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You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems., , , , , и . CoRR, (2018)D&C: A Divide-and-Conquer Approach to IR-based Bug Localization., , , , , , и . CoRR, (2019)DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode., , , , , , , и . IEEE Trans. Software Eng., 49 (10): 4691-4706 (октября 2023)Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models., , , и . CoRR, (2023)Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More., , , , , и . CoRR, (2024)IBIR: Bug Report driven Fault Injection., , , , , , и . CoRR, (2020)The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches., , , , , , , , , и . CoRR, (2022)LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning., , , , , и . CoRR, (2023)Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants., , , , , и . Inf. Softw. Technol., (2018)Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics., , , , , , , и . Inf. Softw. Technol., (2022)