Bad smells are sub-optimal code structures that may represent problems needing attention.
We conduct an extensive literature review on bad smells relying on a large body of …

Abstract Design Smells are indicators of situations that negatively affect software quality
attributes such as understandability, testability, extensibility, reusability, and maintainability …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Context Smells in software systems impair software quality and make them hard to maintain
and evolve. The software engineering community has explored various dimensions …

Context: An excessive number of code smells make a software system hard to evolve and
maintain. Machine learning methods, in addition to metric-based and heuristic-based …

Systematic Literature Reviews (SLR) may not provide insight into the" state of the practice" in
SE, as they do not typically include the" grey"(non-published) literature. A Multivocal …

Infrastructure as Code (IaC) is the practice of specifying computing system configurations
through code, and managing them through traditional software engineering methods. The …

Code smells are sub-optimal coding circumstances such as blob classes or spaghetti code-
they have received much attention and tooling in recent software engineering research …

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 …

Code smell detection is essential to improve software quality, enhancing software
maintainability, and decrease the risk of faults and failures in the software system. In this …