Results 261 to 270 of about 4,236 (288)

A systematic review on the code smell effect

Journal of Systems and Software, 2018
Abstract Context: Code smell is a term commonly used to describe potential problems in the design of software. The concept is well accepted by the software engineering community. However, some studies have presented divergent findings about the usefulness of the smell concept as a tool to support software development tasks.
José Amâncio M. Santos, João B. Rocha-Junior, Luciana Carla Lins Prates, Rogeres Santos do Nascimento, Mydiã Falcão Freitas, Manoel Gomes de Mendonça Neto   +5 more
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Understanding code smells in Android applications

Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016
Code smells are associated with poor coding practices that cause long-term maintainability problems and mask bugs. Despite mobile being a fast growing software sector, code smells in mobile applications have been understudied. We do not know how code smells in mobile applications compare to those in desktop applications, and how code smells are ...
Umme Ayda Mannan, Iftekhar Ahmed 0001, Rana Abdullah M. Almurshed, Danny Dig, Carlos Jensen   +4 more
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An interactive ambient visualization for code smells

Proceedings of the 5th international symposium on Software visualization, 2010
Code smells are characteristics of software that indicate that code may have a design problem. Code smells have been proposed as a way for programmers to recognize the need for restructuring their software. Because code smells can go unnoticed while programmers are working, tools called smell detectors have been developed to alert programmers to the ...
Emerson R. Murphy-Hill, Andrew P. Black
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Evolutionary Analysis of the Co-occurrence between Code Smells and Community Smells in Code Samples

Anais do XXI Simpósio Brasileiro de Sistemas de Informação (SBSI 2025)
Context: Code samples are widely used to demonstrate best practices and facilitate framework adoption, promoting productivity and innovation. In open-source projects, their evolution often involves diverse contributions, introducing technical complexity and challenges in community collaboration.
Arthur Bueno, Carla I. M. Bezerra, Hudson Silva Borges, Bruno B. P. Cafeo, Maria Istela Cagnin, Awdren L. Fontão   +5 more
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Code-Smell Detection as a Bilevel Problem

ACM Transactions on Software Engineering and Methodology, 2014
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, using quality metrics that represent some symptoms. However, the selection of suitable quality metrics is challenging due to the absence of consensus in identifying some code ...
Dilan Sahin, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb   +3 more
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Code smells for multi-language systems

Proceedings of the 24th European Conference on Pattern Languages of Programs, 2019
Software quality becomes a necessity and no longer an advantage. In fact, with the advancement of technologies, companies must provide software with good quality. Many studies introduce the use of design patterns as improving software quality and discuss the presence of occurrences of design defects as decreasing software quality.
Mouna Abidi, Manel Grichi, Foutse Khomh, Yann-Gaël Guéhéneuc   +3 more
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JSNOSE: Detecting JavaScript Code Smells

2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2013
JavaScript is a powerful and flexible prototype-based scripting language that is increasingly used by developers to create interactive web applications. The language is interpreted, dynamic, weakly-typed, and has first-class functions. In addition, it interacts with other web languages such as CSS and HTML at runtime.
Amin Milani Fard, Ali Mesbah 0001
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Code Smells, Micro Patterns and their Relations.

ERCIM News, 2012
Code smells are an example of a pattern-oriented trend applied to software evolution. Due to their abstract and informal nature, the detection process requires support from lower-level indicators like individual metric values, history of code changes, knowledge about program structure or results of program execution.
ARCELLI FONTANA, FRANCESCA, ZANONI, MARCO, Walter, B, Martenka, P.   +3 more
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Recommendations for Developers Identifying Code Smells

IEEE Software, 2023
Rafael Maiani de Mello, Roberto Oliveira 0003, Anderson G. Uchôa, Willian Nalepa Oizumi, Alessandro F. Garcia 0001, Baldoino Fonseca, Fernanda de Mello   +6 more
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CLEAN++: Code Smells Extraction for C++

2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 2023
Tom Mashiach, Bruno Sotto-Mayor, Gal A. Kaminka, Meir Kalech   +3 more
openaire   +1 more source