Background: Cross project defect prediction (CPDP) recently gained considerable attention,
yet there are no systematic efforts to analyse existing empirical evidence. Objective: To …

Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

Software defect prediction is one of the most active research areas in software engineering.
We can build a prediction model with defect data collected from a software project and …

Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software
projects was under heavy investigation in recent years. However, within the current state-of …

Background. Recent years have seen an increasing interest in cross-project defect
prediction (CPDP), which aims to apply defect prediction models built on source projects to a …

In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass
classification problems in hyperspectral imaging. We note that LDA does not consider …

Defect prediction models focus on identifying defect-prone code elements, for example to
allow practitioners to allocate testing resources on specific subsystems and to provide …

Software defect prediction (SDP) seeks to estimate fault-prone areas of the code to focus
testing activities on more suspicious portions. Consequently, high-quality software is …

Just-in-Time (JIT) defect prediction-a technique which aims to predict bugs at change level-
has been paid more attention. JIT defect prediction leverages the SZZ approach to identify …

As software systems play an increasingly important role in our lives, their complexity
continues to increase. The increased complexity of software systems makes the assurance …