High-Impact Bug Report Identification with Imbalanced Learning Strategies

Automated Bug Report Field Reassignment and Refinement Prediction

(2016) Xin Xia et al.   IEEE TRANSACTIONS ON RELIABILITY

ELBlocker: Predicting blocking bugs with ensemble imbalance learning

(2015) Xin Xia et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Automatic, high accuracy prediction of reopened bugs

(2014) Xin Xia et al.   Automated Software Engineering

Using Class Imbalance Learning for Software Defect Prediction

(2013) Shuo Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

Studying re-opened bugs in open source software

(2012) Emad Shihab et al.   EMPIRICAL SOFTWARE ENGINEERING

A large-scale empirical study of just-in-time quality assurance

(2012) Yasutaka Kamei et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Automated, highly-accurate, bug assignment using machine learning and tossing graphs

(2012) Pamela Bhattacharya et al.   JOURNAL OF SYSTEMS AND SOFTWARE

Reducing the effort of bug report triage

(2011) John Anvik et al.   ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Future of Mining Software Archives: A Roundtable

(2008) Michael W. Godfrey et al.   IEEE SOFTWARE

Classifying Software Changes: Clean or Buggy?

(2008) Sunghun Kim et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING