Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Applying deep learning based automatic bug triager to industrial projects
Automated Bug Triaging in an Industrial Context
Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms?
Anomaly-based bug prediction, isolation, and validation: an automated approach for software debugging
Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports
Predicting Bugs in Source Code Changes with Incremental Learning Method
PorchLight: a tag-based approach to bug triaging
Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset
Software Bug Prediction using Machine Learning Approach
Predicting the severity of bug reports using classification algorithms
Automatic mining of source code repositories to improve bug finding techniques
Efficient Bug Triaging Using Text Mining
A Comparative Study of the Performance of IR Models on Duplicate Bug Detection
An approach to detecting duplicate bug reports using natural language and execution information
Towards Effective Bug Triage with Software Data Reduction Techniques
An Empirical Study of Bugs in Machine Learning Systems
DURFEX: A Feature Extraction Technique for Efficient Detection of Duplicate Bug Reports
Scalable and incremental software bug detection
Comparing Mining Algorithms for Predicting the Severity of a Reported Bug
Automated Defect Inspection Systems by Pattern Recognition
A deep tree-based model for software defect prediction
Nondiscrimination and the WTO Agreement on Safeguards
OctNetFusion: Learning Depth Fusion from Data
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
Using sentiment to detect bots on Twitter: Are humans more opinionated than bots?
Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments