Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …

Regression testing is a crucial part of software development. It checks that software changes
do not break existing functionality. An important assumption of regression testing is that test …

Defect prediction models are a well-known technique for identifying defect-prone files or
packages such that practitioners can allocate their quality assurance efforts (eg, testing and …

In the pull-based development model, the integrator has the crucial role of managing and
integrating contributions. This work focuses on the role of the integrator and investigates …

In a manual examination of more than 7,000 issue reports from the bug databases of five
open-source projects, we found 33.8% of all bug reports to be misclassified-that is, rather …

Defect prediction aims to automatically identify potential defective code with minimal human
intervention and has been widely studied in the literature. Just-in-Time (JIT) defect prediction …

Context Defect prediction is a very meaningful topic, particularly at change-level. Change-
level defect prediction, which is also referred as just-in-time defect prediction, could not only …

How do software engineers identify and act on their ethical concerns? Past work examines
how software practitioners navigate specific ethical principles such as “fairness”, but this …

Unlike traditional defect prediction models that identify defect-prone modules, Just-In-Time
(JIT) defect prediction models identify defect-inducing changes. As such, JIT defect models …