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Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?

, , , , , , and . SANER, page 385-395. IEEE, (2022)

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Quid Pro Quo: An Exploration of Reciprocity in Code Review., , and . MSR, page 738-740. ACM, (2022)Generation-based Code Review Automation: How Far Are Weƒ., , , , , and . ICPC, page 215-226. IEEE, (2023)Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?, , , , , , and . SANER, page 385-395. IEEE, (2022)Micro interaction metrics for defect prediction., , , , and . SIGSOFT FSE, page 311-321. ACM, (2011)CCBERT: Self-Supervised Code Change Representation Learning., , , , , and . ICSME, page 182-193. IEEE, (2023)Simple or complex?: together for a more accurate just-in-time defect predictor., , and . ICPC, page 229-240. ACM, (2022)BinAlign: Alignment Padding Based Compiler Provenance Recovery., , , and . ACISP, volume 13915 of Lecture Notes in Computer Science, page 609-629. Springer, (2023)Does code review really remove coding convention violations?, , , , and . SCAM, page 43-53. IEEE, (2020)The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models., , , , , and . ASE, page 40-52. IEEE, (2023)Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models., , , , , , and . CoRR, (2023)