ML4SE papers at ICSE'21

ml4se-icse21.md

Presented Papers

• Siri, Write the Next Method
• Code Prediction by Feeding Trees to Transformers
• Towards Automating Code Review Activities
• Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models
• Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
• A Context-based Automated Approach for Method Name Consistency Checking and Suggestion
• GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
• Automatically Matching Bug Reports With Related App Reviews
• CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
• InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
• Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
• Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation
• DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks
• FlakeFlagger: Predicting Flakiness Without Rerunning Tests
• GenTree: Using Decision Trees to Learn Interactions for Configurable Software
• PyART: Python API Recommendation in Real-Time
• A Machine Learning Approach to Improve the Detection of CI Skip Commits
• IdBench: Evaluating Semantic Representations of Identifier Names in Source Code
• CODIT: Code Editing with Tree-Based Neural Models
• Automatic Web Testing Using Curiosity-Driven Reinforcement Learning
• Learning Autocompletion from Real-World Datasets
• Anomaly Detection in a Large-scale Cloud Platform
• Deep Learning Based Program Generation from Requirements Text: Are We There Yet?
• Modular Tree Network for Source Code Representation Learning
• psc2code: Denoising Code Extraction from Programming Screencasts
• The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring
• Predicting Performance Anomalies in Software Systems at Run-time