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 …
A systematic survey of just-in-time software defect prediction
Recent years have experienced sustained focus in research on software defect prediction
that aims to predict the likelihood of software defects. Moreover, with the increased interest …
that aims to predict the likelihood of software defects. Moreover, with the increased interest …
Deep semantic feature learning for software defect prediction
Software defect prediction, which predicts defective code regions, can assist developers in
finding bugs and prioritizing their testing efforts. Traditional defect prediction features often …
finding bugs and prioritizing their testing efforts. Traditional defect prediction features often …
Cc2vec: Distributed representations of code changes
Existing work on software patches often use features specific to a single task. These works
often rely on manually identified features, and human effort is required to identify these …
often rely on manually identified features, and human effort is required to identify these …
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 based software defect prediction
Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …
make it very challengeable to prevent software defects. Therefore, automatically predicting …
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 …
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 …
Interpretability application of the Just-in-Time software defect prediction model
Software defect prediction is one of the most active fields in software engineering. Recently,
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …
Deep just-in-time defect prediction: how far are we?
Defect prediction aims to automatically identify potential defective code with minimal human
intervention and has been widely studied in the literature. Just-in-Time (JIT) defect prediction …
intervention and has been widely studied in the literature. Just-in-Time (JIT) defect prediction …