Software defect prediction via LSTM

An investigation of imbalanced ensemble learning methods for cross-project defect prediction

(2019) Shaojian Qiu et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Progress on approaches to software defect prediction

(2018) Zhiqiang Li et al.   IET Software

Video Captioning With Attention-Based LSTM and Semantic Consistency

(2017) Lianli Gao et al.   IEEE TRANSACTIONS ON MULTIMEDIA

An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems

(2017) Xiao-Yuan Jing et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Negative samples reduction in cross-company software defects prediction

(2015) Lin Chen et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Improving Random Forest and Rotation Forest for highly imbalanced datasets

(2015) Chong Su et al.   Intelligent Data Analysis