Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …

Context Software defect prediction plays a crucial role in estimating the most defect-prone
components of software, and a large number of studies have pursued improving prediction …

Context: Most defect prediction methods consider a series of traditional manually designed
static code metrics. However, only using these hand-crafted features is impractical. Some …

Predicting defective software modules before testing is a useful operation that ensures that
the time and cost of software testing can be reduced. In recent years, several models have …

With the introduction of network metrics into the field of software defect prediction, the
dependency network of software modules is widely used. The network embedding models …

Software defect prediction (SDP) is a technique that uses known software features and
defect information to predict target software defects. It helps reduce software development …

Research on software defect prediction has achieved great success at modeling predictors.
To build more accurate predictors, a number of hand‐crafted features are proposed, such as …

To help the newcomers understand a software system better during its development, the key
classes are in general given priority to be focused on as soon as possible. There are …

To improve software quality, the source code that composes software has to be improved,
and improving the important code that largely affects the software quality should be a cost …

Vive-se uma época em que a tecnologia está presente em quase todos os processos de
trabalho e a demanda por recursos tecnológicos é cada vez mais frequente, com mais …