Anti-patterns and code smells are archetypes used for describing software design
shortcomings that can negatively affect software quality, in particular maintainability. Tools …

In this paper, we present TACO (Textual Analysis for Code Smell Detection), a technique
that exploits textual analysis to detect a family of smells of different nature and different …

Antipatterns are known as poor solutions to recurring problems. For example, Brown et al.
and Fowler define practices concerning poor design or implementation solutions. However …

Design problems affect every software system. Diverse software systems have been
discontinued or reengineered due to design problems. As design documentation is often …

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 …

Empirical studies have shown so far that code smells have relatively low impact over
maintenance effort at file level. We surmise that previous studies have found low effects of …

Context—Design patterns represent recommended generic solutions to various design
problems, whereas code smells are symptoms of design issues that could hinder further …

Code smells are symptoms of poor design and implementation choices that may hinder
code comprehension, and possibly increase change-and defect-proneness. A vast …

In industrial organisations, software products are quite large and complex, consisting of a
number of classes. Thus, it is not possible to test all the products with a finite number of …

As a traditional dynamic language, Python is increasingly used in various software
engineering tasks. However, due to its flexibility and dynamism, Python is a particularly …