Cross-project defect prediction (CPDP) refers to predicting defects in a target project using
prediction models trained from historical data of other source projects. And CPDP in the …

As software becomes increasingly important, its quality becomes an increasingly important
issue. Therefore, prior work focused on software quality and proposed many prediction …

To predict files with defects, a suitable prediction model must be built for a software project
from either itself (within-project) or other projects (cross-project). A universal defect …

Context Previous studies have shown that steered training data or dataset selection can
lead to better performance for cross project defect prediction (CPDP). On the other hand …

The interpretation of defect models heavily relies on software metrics that are used to
construct them. Prior work often uses feature selection techniques to remove metrics that are …

Defect prediction assists the rational allocation of testing resources by detecting the
potentially defective software modules before releasing products. When a project has no …

Logging statements are used to record valuable runtime information about applications.
Each logging statement is assigned a log level such that users can disable some verbose …

Abstract Infrastructure-as-code (IaC) is a practice to implement continuous deployment by
allowing management and provisioning of infrastructure through the definition of machine …

The all-important goal of delivering better software at lower cost has led to a vital, enduring
quest for ways to find and remove defects efficiently and accurately. To this end, two parallel …

The Netherlands Forensic Institute and the Institute for Forensic Science in Shanghai are in
search of a signature verification system that can be implemented in forensic casework and …