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APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

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Curvature-Invariant Adversarial Attacks for 3D Point Clouds., , , , , and . AAAI, page 7142-7150. AAAI Press, (2024)Automated Defects Detection and Fix in Logging Statement., , , , , and . CoRR, (2024)Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection., , , , and . CoRR, (2021)Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection., , , , , , , , and . CoRR, (2023)Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?, , , , , , and . CoRR, (2021)APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java., , , , , , and . (December 2021)KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems., , , , , , , , and . ISSRE, page 403-414. IEEE, (2024)APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java., , , , , , and . (November 2023)Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?, , , , , , and . IEEE Trans. Software Eng., 49 (4): 1876-1897 (April 2023)MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection., , , , , and . CoRR, (2024)