Background: The migration from a monolithic system to microservices requires a deep
refactoring of the system. Therefore, such a migration usually has a big economic impact …

Context: Software engineering researchers have undertaken many experiments
investigating the potential of software defect prediction algorithms. Unfortunately some …

Automated code generation can be a powerful technique for software development,
significantly reducing developers' efforts and time required to create new code by generating …

Technical Debt analysis is increasing in popularity as nowadays researchers and industry
are adopting various tools for static code analysis to evaluate the quality of their code …

Context. Among the static analysis tools available, SonarQube is one of the most used.
SonarQube detects Technical Debt (TD) items—ie, violations of coding rules—and then …

Abstract Background: Developers use Static Analysis Tools (SATs) to control for potential
quality issues in source code, including defects and technical debt. Tool vendors have …

The SZZ algorithm for identifying bug-inducing changes has been widely used to evaluate
defect prediction techniques and to empirically investigate when, how, and by whom bugs …

Static code analysis tools such as FindBugs and SonarQube are widely used on open-
source and industrial projects to detect a variety of issues that may negatively affect the …

Quality assurance (QA) tools are receiving more and more attention and are widely used by
developers. Given the wide range of solutions for QA technology, it is still a question of …

Technical debt (TD) is commonly used to indicate additional costs caused by quality
compromises that can yield short-term benefits in the software development process, but …