Code smells are more likely to stay inter-connected in software rather than remaining as a single instance. These code smell clusters create maintainability issues in evolving software. This paper aims to understand the evolution of the code smells in software, by analyzing the behavior of these clusters such as size, number and connectivity. For this, the clusters are first identified and then...

Code smells are indicators of design flaws that may have negative effects on the comprehensibility and maintainability of a software system. Previous studies on software clones have shown that visualization of findings are useful to identify clones suitable for refactorings. However, techniques to visualize code smells in general are rare and, thus, an interesting field of research to bridge th...

Code bad smells represent symptoms of poor implementation choices. Previous studies found that these smells make source code more difficult to maintain, possibly also increasing its fault-proneness. There are plethora of approaches that identify bad smells based on code analysis techniques. We propose, in this paper, to consider code-smells correction as a distributed problem. Different techniq...

Changes are continuously made in the source code to take into account the needs of the customers and fix the faults. Continuous change can lead to antipatterns and code smells, collectively called “design smells” to occur in the source code. Design smells are poor solutions to recurring design or implementation problems, typically in object-oriented development. During comprehension and changes...

Code-Smells refer to design situations that may adversely affect the maintenance of software. They make a system difficult to change, which may in turn introduce bugs. Codesmells are detected, in general, using quality metrics that formalize some symptoms based on detection rules. We propose in this work to consider the problem of code-smells detection as a multi-objective problem where example...

Code-Smells represent design situations that can affect the maintenance and evolution of software. They make a system difficult to evolve. Code-smells are detected, in general, using quality metrics that represent some symptoms. However, the selection of suitable quality metrics is challenging due to the absence of consensus to identify some code-smells based on a set of symptoms and also the h...

Software development process involves developing, building and enhancing high-quality software for specific tasks as a consequence generates considerable amount of data. This data can be managed in systematic manner creating knowledge repositories that used to competitive advantage. Lesson's learned part the also bank advantage subsequent projects by developers practitioners. Code smells are gr...

In this work, the bad code smells are studied empirically and their relationship to source code metrics is evaluated. This work also presents an initial taxonomy for the bad code smell, which improves their understandability and feasibility The bad code smells, presented by Martin Fowler and Kent Beck, are dissatisfactory structures in the source code of software that decrease software quality ...

Code Smells sind Strukturschwächen innerhalb von Programmcode, die einen negativen Einfluss auf die Verständlichkeit und Wartbarkeit eines Softwaresystems haben können. Basierend auf den Ergebnissen vergangener Studien, wurden in den letzten Jahren verschiedene Werkzeuge zur automatischen Erkennung von Code Smells entwickelt. Eine beliebte Technik ist dabei die Verwendung abstrakter Syntaxbäume...