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 …
yet there are no systematic efforts to analyse existing empirical evidence. Objective: To …
Progress on approaches to software defect prediction
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 …
engineering. It aims to predict defect‐prone software modules before defects are discovered …
Heterogeneous defect prediction
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 …
We can build a prediction model with defect data collected from a software project and …
Deep learning for just-in-time defect prediction
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 …
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
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 …
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
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 …
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
Context Software defect prediction strives to detect defect-prone software modules by mining
the historical data. Effective prediction enables reasonable testing resource allocation …
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
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 …
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
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 …
semisupervised defect prediction (SSDP) and cross-project defect prediction (CPDP) are …
Software defect prediction using artificial neural networks: A systematic literature review
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 …
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …