- 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
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ML4SE papers at ICSE'21
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