Artificial intelligence (AI) has been successfully applied in industry for decades, ranging from
the emergence of expert systems in the 1960s to the wide popularity of deep learning today …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Software defects are well-known in software development and might cause several
problems for users and developers aside. As a result, researches employed distinct …

With the popularity of blockchain, the amount of smart contracts has increased very fast, and
the safety of smart contracts has come to more extensive notice. Recently, machine learning …

Cross-project defect prediction (CPDP), aiming to apply defect prediction models built on
source projects to a target project, has been an active research topic. A variety of supervised …

Software defect prediction recommends the most defect-prone software modules for
optimization of the test resource allocation. The limitation of the extensively-studied …

The popularity of mobile devices has led to an explosive growth in the number of mobile
apps in which Android mobile apps are the mainstream. Android mobile apps usually …

Context Although a long-running project has experienced many releases, removing defects
from a product is still a challenge. Cross-version defect prediction (CVDP) regards project …

Context: Cross-version defect prediction (CVDP) is a practical scenario in which defect
prediction models are derived from defect data of historical versions to predict potential …

Cross-project defect prediction (CPDP) methods can be used when the target project is a
new project or lacks enough labeled program modules. In these new target projects, we can …