Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …

Context and Motivation–Developer eXperience (Dev-X) is a recent research area that
focuses on developers perceptions, feelings, and values with respect to software …

Defect prediction is proposed to assist practitioners effectively prioritize limited Software
Quality Assurance (SQA) resources on the most risky files that are likely to have post-release …

Defect prediction models focus on identifying defect-prone code elements, for example to
allow practitioners to allocate testing resources on specific subsystems and to provide …

Software vulnerabilities are weaknesses in source code that can be potentially exploited to
cause loss or harm. While researchers have been devising a number of methods to deal …

Code smells are poor implementation choices applied by developers during software
evolution that often lead to critical flaws or failure. Much in the same way, community smells …

Infrastructure-as-code (IaC) is the DevOps practice enabling management and provisioning
of infrastructure through the definition of machine-readable files, hereinafter referred to as …

Code smells are symptoms of poor design and implementation choices. Previous studies
empirically assessed the impact of smells on code quality and clearly indicate their negative …

Fixing software bugs can be colossally expensive, especially if they are discovered in the
later phases of the software development life cycle. As such, bug prediction has been a …

Code smells are symptoms of poor implementation choices applied during software
evolution. While previous research has devoted effort in the definition of automated solutions …