Podrobná bibliografia
| Názov: |
Systematic Review of Code Smell Patterns and Their Impact on Software Technical Debt. |
| Autori: |
Rodríguez Ponce, Claudia de las Mercedes, Santaolaya Salgado, Rene, Valenzuela Robles, Blanca Dina, Hernández García, Humberto |
| Zdroj: |
International Journal of Combinatorial Optimization Problems & Informatics; Jan-Apr2026, Vol. 17 Issue 1, p215-238, 24p |
| Predmety: |
DESIGN failures, LEGACY systems, COMPUTER software development, SOFTWARE engineering, SOFTWARE maintenance, COMPUTER software quality control |
| Abstrakt: |
The accumulation of technical debt in legacy software is primarily manifested through the recurring need to modify code in order to correct defects, adapt it to new requirements, or alter existing functionalities. This situation reduces the useful lifespan of software systems by increasing their fragility, as a consequence of the continuous interventions required for maintenance and correction. Code smells constitute one of the principal contributors to this problem in software development. Consequently, it is essential to address this issue through appropriate design and coding practices in order to enhance code quality, maintainability, and readability. The objective of the present research is to identify the relative frequency of practices employed by developers during the design and coding phases that lead to the generation of malformed code, thereby contributing to entropy and increased technical debt in legacy systems. The study focuses on evaluating factors related to structural design and programming practices, while also conducting statistical analyses to identify recurring patterns associated with code smells. The results provide a detailed understanding of the most common practices and their impact on software quality. Furthermore, they highlight relevant gaps in current software engineering research and development, suggesting potential directions for future investigations aimed at addressing these shortcomings. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Combinatorial Optimization Problems & Informatics is the property of International Journal of Combinatorial Optimization Problems & Informatics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Complementary Index |
Full Text Finder 
Nájsť tento článok vo Web of Science