A systematic literature review and meta-analysis on cross project defect prediction

S Hosseini, B Turhan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Background: Cross project defect prediction (CPDP) recently gained considerable attention,
yet there are no systematic efforts to analyse existing empirical evidence. Objective: To …

Progress on approaches to software defect prediction

Z Li, XY Jing, X Zhu - Iet Software, 2018 - Wiley Online Library
Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

Heterogeneous defect prediction

J Nam, S Kim - Proceedings of the 2015 10th joint meeting on …, 2015 - dl.acm.org
Software defect prediction is one of the most active research areas in software engineering.
We can build a prediction model with defect data collected from a software project and …

Deep learning for just-in-time defect prediction

X Yang, D Lo, X Xia, Y Zhang… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Defect prediction is a very meaningful topic, particularly at change-level. Change-level
defect prediction, which is also referred as just-in-time defect prediction, could not only …

A comparative study to benchmark cross-project defect prediction approaches

S Herbold, A Trautsch, J Grabowski - Proceedings of the 40th …, 2018 - dl.acm.org
Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software
projects was under heavy investigation in recent years. However, within the current state-of …

TLEL: A two-layer ensemble learning approach for just-in-time defect prediction

X Yang, D Lo, X Xia, J Sun - Information and Software Technology, 2017 - Elsevier
Context Defect prediction is a very meaningful topic, particularly at change-level. Change-
level defect prediction, which is also referred as just-in-time defect prediction, could not only …

Software defect prediction based on kernel PCA and weighted extreme learning machine

Z Xu, J Liu, X Luo, Z Yang, Y Zhang, P Yuan… - Information and …, 2019 - Elsevier
Context Software defect prediction strives to detect defect-prone software modules by mining
the historical data. Effective prediction enables reasonable testing resource allocation …

How far we have progressed in the journey? an examination of cross-project defect prediction

Y Zhou, Y Yang, H Lu, L Chen, Y Li, Y Zhao… - ACM Transactions on …, 2018 - dl.acm.org
Background. Recent years have seen an increasing interest in cross-project defect
prediction (CPDP), which aims to apply defect prediction models built on source projects to a …

Cross-project and within-project semisupervised software defect prediction: A unified approach

F Wu, XY Jing, Y Sun, J Sun, L Huang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
When there exist not enough historical defect data for building an accurate prediction model,
semisupervised defect prediction (SSDP) and cross-project defect prediction (CPDP) are …

Software defect prediction using artificial neural networks: A systematic literature review

MA Khan, NS Elmitwally, S Abbas, S Aftab… - Scientific …, 2022 - Wiley Online Library
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …