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A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization

Local search-based approach for cost-effective job assignment on large language models

LogSD: Detecting anomalies from system logs through self-supervised learning and frequency-based masking

A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations

DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction

Leveraging Stack Overflow to detect relevant tutorial fragments of APIs

Log Parsing with Prompt-based Few-shot Learning

Log Parsing: How Far Can ChatGPT Go?

Prompt Tuning in Code Intelligence: An Experimental Evaluation

Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries

Revisiting Code Search in a Two-Stage Paradigm

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs

Understanding and predicting incident mitigation time

A Collaboration-Aware Approach to Profiling Developer Expertise with Cross-Community Data

A large-scale empirical study of commit message generation: models, datasets and evaluation

Accelerating Code Search with Deep Hashing and Code Classification

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

An empirical investigation of missing data handling in cloud node failure prediction

Cross-Domain Deep Code Search with Meta Learning

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