Predicting Aging-Related Bugs Using Network Analysis on Aging-Related Dependency Networks

Generative Adversarial Networks-Based Imbalance Learning in Software Aging-Related Bug Prediction

(2021) Satyendra Singh Chouhan et al.   IEEE TRANSACTIONS ON RELIABILITY

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

An empirical study of factors affecting cross-project aging-related bug prediction with TLAP

(2019) Fangyun Qin et al.   SOFTWARE QUALITY JOURNAL

On the Costs and Profit of Software Defect Prediction

(2019) Steffen Herbold   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Studying Aging-Related Bug Prediction Using Cross-Project Models

(2018) Fangyun Qin et al.   IEEE TRANSACTIONS ON RELIABILITY

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning

(2017) Fuzhen Zhuang et al.   ACM Transactions on Intelligent Systems and Technology

Empirical Studies of a Two-Stage Data Preprocessing Approach for Software Fault Prediction

(2016) Wangshu Liu et al.   IEEE TRANSACTIONS ON RELIABILITY

Empirical analysis of network measures for effort-aware fault-proneness prediction

(2016) Wanwangying Ma et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Analyzing and predicting software integration bugs using network analysis on requirements dependency network

(2014) Junjie Wang et al.   REQUIREMENTS ENGINEERING

Reducing Features to Improve Code Change-Based Bug Prediction

(2012) S. Shivaji et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Predicting aging-related bugs using software complexity metrics

(2012) Domenico Cotroneo et al.   PERFORMANCE EVALUATION

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING