Results 11 to 20 of about 2,743 (203)
On the Assessment of Interactive Detection of Code Smells in Practice: A Controlled Experiment
IEEE Access, 2023 Code smells are structures in a program that often indicate the presence of deeper maintainability problems. Code smells should be detected as soon as they are introduced, enabling refactoring actions with less effort and time. Non-Interactive Detection (
Danyllo Albuquerque +6 more
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A Severity Assessment of Python Code Smells
IEEE Access, 2023 Presence of code smells complicate the source code and can obstruct the development and functionality of the software project. As they represent improper behavior that might have an adverse effect on software maintenance, code smells are behavioral in ...
Aakanshi Gupta +5 more
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Research Trends, Detection Methods, Practices, and Challenges in Code Smell: SLR
IEEE Access, 2023 Context: A code smell indicates a flaw in the design, implementation, or maintenance process that could degrade the software’s quality and potentially cause future disruptions.
Muhammad Anis Al Hilmi +5 more
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Investigating the Role of Code Smells in Preventive Maintenance [PDF]
Journal of Information Technology Management, 2019 The quest for improving the software quality has given rise to various studies which focus on the enhancement of the quality of software through various processes.
Junaid Ali Reshi, Satwinder Singh
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The Effect of Code Smells on the Relationship Between Design Patterns and Defects
IEEE Access, 2021 The relationship between design patterns and defects was investigated in the literature, but with mixed results. While the majority of studies found the presence of patterns to be positively correlated with defects, other works reported the opposite ...
Tarek Alkhaeir, Bartosz Walter
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IEEE Access, 2021 Code smells refer to suboptimal coding practices which impact software quality and software non-functional requirements such as performance, maintainability, and resource usage.
Mohammad A. Alkandari +2 more
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Automated Code-Smell Detection in Microservices Through Static Analysis: A Case Study
Applied Sciences, 2020 Microservice Architecture (MSA) is becoming the predominant direction of new cloud-based applications. There are many advantages to using microservices, but also downsides to using a more complex architecture than a typical monolithic enterprise ...
Andrew Walker, Dipta Das, Tomas Cerny
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Detection of Bad Smell in Code Based on BP Neural Network [PDF]
Jisuanji gongcheng, 2020 Bad smells in code seriously affect the quality of software and its maintenance.To address the low accuracy of machine learning algorithms in bad smell detection and the single type of bad smell dataset,this paper proposes a detection method for bad ...
WANG Shuyan, ZHANG Yiquan, SUN Jiaze
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An Exploratory Study of the Relationship Between Software Test Smells and Fault-Proneness
IEEE Access, 2019 Test smells have been defined as indicators of poorly designed tests. Their presence negatively affects the maintainability of a test suite as well as the production code. Despite the many studies that address the negative impacts of various test smells,
Abdallah Qusef +2 more
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Integrating Interactive Detection of Code Smells into Scrum: Feasibility, Benefits, and Challenges
Applied Sciences, 2023 (Context) Code smells indicate poor coding practices or design flaws, suggesting deeper software quality issues. While addressing code smells promptly improves software quality, traditional detection techniques often fail in continuous detection during ...
Danyllo Albuquerque +4 more
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