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 …

Defect prediction based on deep learning is proposed to provide practitioners with reliable
and practical tools to determine whether an area of code is defective. Compared with …

The process of assigning bugs to particular programmers is called bug assignment in
software engineering. The programmer can fix the bugs by applying their knowledge. This …

Fixing software bugs can be colossally expensive, especially if they are discovered in the
later phases of the software development life cycle. As such, bug prediction has been a …

In the past couple of decades, significant research efforts are devoted to the prediction of
software bugs. However, most existing work in this domain treats all bugs the same, which is …

Context: An increasing number of software systems are written in multiple programming
languages (PLs), which are called multi-programming-language (MPL) systems. MPL bugs …

With the continuous development of Internet technology, the role of software in life is
increasing, and software defect prediction (SDP) is a key means to ensure software …

Resolving bugs in the maintenance phase of software is a complicated task. Bug
assignment is one of the main tasks for resolving bugs. Some Bugs cannot be fixed properly …

Many statistical analyses and prediction models rely on past data about how a system
evolves to learn and anticipate the number of changes and bugs it will have in the future. As …

In the past couple of decades, significant research efforts have been devoted to the
prediction of software bugs (ie, defects). In general, these works leverage a diverse set of …