Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction

Neural Network-based Detection of Self-Admitted Technical Debt

(2019) Xiaoxue Ren et al.   ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY

Locating Latent Design Information in Developer Discussions: A Study on Pull Requests

(2019) Giovanni Viviani et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction

(2019) Yuanrui Fan et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Chaff from the Wheat: Characterizing and Determining Valid Bug Reports

(2018) Yuanrui Fan et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

A two-phase transfer learning model for cross-project defect prediction

(2018) Chao Liu et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study

(2018) Xiang Zhou et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Text Filtering and Ranking for Security Bug Report Prediction

(2017) Fayola Peters et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Data Scientists in Software Teams: State of the Art and Challenges

(2017) Miryung Kim et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

High-Impact Bug Report Identification with Imbalanced Learning Strategies

(2017) Xin-Li Yang et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

On the unreliability of bug severity data

(2015) Yuan Tian et al.   EMPIRICAL SOFTWARE ENGINEERING

Automatic, high accuracy prediction of reopened bugs

(2014) Xin Xia et al.   Automated Software Engineering

Data Quality: Some Comments on the NASA Software Defect Datasets

(2013) Martin Shepperd et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Differential Evolution: A Survey of the State-of-the-Art

(2010) Swagatam Das et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION