Context: Automated software defect prediction (SDP) methods are increasingly applied,
often with the use of machine learning (ML) techniques. Yet, the existing ML-based …

Cloud technology is not immune to bugs and issue tracking. A dedicated system is required
that will extremely error prone and less cumbersome and must command a high degree of …

Software defects are a critical issue in software development that can lead to system failures
and cause significant financial losses. Predicting software defects is a vital aspect of …

Deep neural network models built by the appropriate design decisions are crucial to obtain
the desired classifier performance. This is especially desired when predicting fault …

Effective software defect prediction (SDP) is important for software quality assurance.
Numerous advanced SDP methods have been proposed recently. However, how to …

Fault Prediction procedures are meant to help focus on software testing and troubleshooting;
they can caution developers on programming segments that appear to be defective. Here, a …

The process of identifying software bugs is of paramount importance as it ensures software
reliability and facilitates maintenance activities. The quality improvement process of software …

To improve the software quality, the software is generally tested to find out any bugs or a
simple reliability test. A reliable software defect checking mechanism is a leading research …

Software defect prediction (SDP) plays an important role in improving software quality and
reliability while reducing software maintenance cost. The problem in the field of SDP is how …

Ensuring the quality is essential for a successful Software System. Software systems need to
be tested in every stage of the Software Development Life Cycle (SDLC) irrespective of the …