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 …

Deep learning-based automated program repair (DL-APR) can automatically fix software
bugs and has received significant attention in the industry because of its potential to …

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 …

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 …

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 …

Microservices bring various benefits to software systems. They also bring decentralization
and lose coupling across self-contained system parts. Since these systems likely evolve in a …

Context: Companies frequently invest effort to remove technical issues believed to impact
software qualities, such as removing anti-patterns or coding styles violations. Objective: We …

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 …

Background Pull requests are a common practice for making contributions and reviewing
them in both open-source and industrial contexts. Objective Our goal is to understand …

Abstract Artificial Intelligence for IT Operations (AIOps) leverages AI approaches to handle
the massive amount of data generated during the operations of software systems. Prior …