Ketidakseimbangan kelas seringkali menjadi masalah di berbagai set data dunia nyata, di
mana satu kelas (yaitu kelas minoritas) berisi sejumlah kecil titik data dan yang lainnya …

Software defect prediction is one of the most active research fields in software development.
The outcome of defect prediction models provides a list of the most likely defect-prone …

Software reuse has been the most effective way to improve the quality and efficiency of
software development for a long time. Model-based software reuse (MBSR) development …

Machine Learning is a division of Artificial Intelligence which builds a system that learns from
the data. Machine learning has the capability of taking the raw data from the repository …

Detecting software defects early on is critical for avoiding significant financial losses.
However, building accurate software defect prediction models can be challenging due to …

The most significant feature of a software is its quality. Software defect prediction has grown
significantly in popularity over the past several years and may directly impact quality …

Software Defect Prediction (SDP), even in its early stages, is a crucial and significant activity.
SDP has recently received a lot of attention as a quality assurance method. Massive …

Software defect prediction is software data that is used to identify a software module and can
also be used to predict software defects. Before carrying out further trials, it is necessary to …

Demand for producing quality software has rapidly increased during the last few years. This
is leading to increase in development of machine learning methods for exploring data sets …

Software plays a very important role in our everyday life. There are many instances which
show that even a small defect in the software can cause huge loss to many lives. By …