Evolving diverse ensembles using genetic programming has recently been proposed for
classification problems with unbalanced data. Population diversity is crucial for evolving …

Software defect prediction research relies on data that must be collected from otherwise
separate repositories. To achieve greater generalization of the results, standardized …

Empirical software engineering research community aims to accumulate knowledge in
software engineering community based on the empirical studies on datasets obtained from …

Evolving diverse ensembles using genetic programming has recently been proposed for
classification problems with unbalanced data. Population diversity is crucial for evolving …

Software Defect Prediction (SDP) deals with localization of potentially faulty areas of the
source code. Classification models are the main tool for performing the prediction and the …

Software metrics measure the complexity and quality in many empirical case studies. Recent
studies have shown that threshold values can be detected for some metrics and used to …

Quality of large-scale mission-critical software systems depends on software system
architecture. Although we design and create software system architecture we are still unable …

Background: The software industry spends a lot of money on finding and fixing defects. It
utilises software defect prediction models to identify code that is likely to be defective …

Context: Researchers have increasingly recognised the benefit of mining software
repositories to extract information. Thus, integrating a version control tool (VC tool) and bug …