Background: Software defect prediction models aim at identifying the potential faulty
modules of a software project based on historical data collected from previous versions of …

The agile paradigm for software projects has significantly impacted software development
worldwide. It is currently widely accepted as having advantages in accommodating changes …

Several companies are rearchitecting their monolithic information systems with
microservices. However, many companies migrate to microservices without experience …

The popularity of tools for analyzing Technical Debt, and particularly the popularity of
SonarQube, is increasing rapidly. SonarQube proposes a set of coding rules, which …

Architectural smells can negatively impact on different software qualities and can represent
a relevant source of architectural debt. Several architectural smells have been defined by …

Decomposition is one of the most complex tasks during the migration from monolithic
systems to microservices, generally performed manually, based on the experience of the …

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 …

Software maintenance is a widely studied area of software engineering that it is particularly
important in safety-critical and mission-critical applications where defects may have huge …

[Context] The popularity of tools for software quality analysis has increased over the years,
with special attention to tools that calculate technical debt based on violations of a set of …

The concept of technical debt has been explored from many perspectives but its precise
estimation is still under heavy empirical and experimental inquiry. We aim to understand …