Code smells represent design situations that can affect the maintenance and evolution of
software. They make the system difficult to evolve. Code smells are detected, in general …

Code-smells are identified, in general, by using a set of detection rules. These rules are
manually defined to identify the key symptoms that characterize a code-smell using …

Code smells tend to compromise software quality and also demand more effort by
developers to maintain and evolve the application throughout its life-cycle. They have long …

Over the past 15 years, researchers presented numerous techniques and tools for mining
code smells. It is imperative to classify, compare, and evaluate existing techniques and tools …

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 …

Code smells refer to any symptom in the source code of a program that possibly indicates a
deeper problem, hindering software maintenance and evolution. Detection of code smells is …

Code smells can be subjectively interpreted, the results provided by detectors are usually
different, the agreement in the results is scarce, and a benchmark for the comparison of …

Code smells refer to commonly occurring patterns in source code that indicate poor
programming practices or code decay. Detecting code smells helps developers find design …

Code smells are symptoms of poor design and implementation choices weighing heavily on
the quality of produced source code. During the last decades several code smell detection …

Several code smell detection tools have been developed providing different results,
because smells can be subjectively interpreted, and hence detected, in different ways. In this …