Several large scale studies on the Maven, NPM, and Android ecosystems point out that
many developers do not often update their vulnerable software libraries thus exposing the …

Test smells are sub-optimal design choices in the implementation of test code. As reported
by recent studies, their presence might not only negatively affect the comprehension of test …

Code smells are a well-known metaphor to describe symptoms of code decay or other
issues with code quality which can lead to a variety of maintenance problems. Even though …

Code smells are indicators of issues with source code quality that may hinder evolution.
While previous studies mainly focused on the effects of individual code smells on …

Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …

Context. The demand for green software design is steadily growing higher especially in the
context of mobile devices, where the computation is often limited by battery life. Previous …

Code smells detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …

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 …

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 …

Code smells are the result of not following software engineering principles during software
development, especially in the design and coding phase. It leads to low maintainability. To …