The Software Defect Prediction (SDP) method forecasts the occurrence of defects at the
beginning of the software development process. Early fault detection will decrease the …

Software stands out as one of the most rapidly evolving technologies in the present era,
characterized by its swift expansion in both scale and complexity, which leads to challenges …

Software testing is the process of improving software quality by classifying and removing
defects in the software development. Previously, several methods were used for software …

Labeling a module defective or non-defective is an expensive task. Hence, there are often
limits on how much-labeled data is available for training. Semi-supervised classifiers use far …

Cross-project defect prediction (CPDP) has been a popular approach to address the limited
historical dataset when building a defect prediction model. Directly applying cross-project …

Technology is rising on daily basis with the advancement in web and artificial intelligence
(AI), and big data developed by machines in various industries. All of these provide a …

Software defects are one of the main contributors to information technology waste and lead
to rework, thus consuming a lot of time and money. Software defect prediction has the …

The software project model needs a defect prediction model to find defect‐prone file
software systems. The fault‐prone model prediction, predicting bugs, and bug removal can …

Despite the fact that, much research has been conducted to improve accuracy in software
bug prediction through different Machine Learning (ML) classifiers, not concentrated on the …

Software systems have gotten increasingly complicated and adaptable in today's computer
world. As a result, it's critical to track down and fix software design flaws on a regular basis …