One of the goal in software testing is to discover software defects before the software is used
by customer. Successful software testing leads to high quality software. However, exposing …

Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …

The object of software defect prediction (SDP) is to identify defect-prone modules. This is
achieved through constructing prediction models using datasets obtained by mining …

In the Software development life cycle (SDLC) the prediction of software defects is one of the
crucial parts. Recent years have witnessed various studies for predicting software defects …

Software Defect Prediction (SDP) is an approach used for identifying defect-prone software
modules or components. It helps software engineer to optimally, allocate limited resources to …

Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …

Abstract The performance of Software Defect Prediction (SDP) models depends on the
quality of dataset used for training the models. The high dimensionality of software metric …

Machine learning is an effective method for software defect prediction. The performance of
learning models can be affected by irrelative and redundant features. Feature selection …

Software defect prediction (SDP) plays a crucial role in ensuring the security and quality of
software systems. However, it faces challenges posed by high-dimensional features present …

Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …