FedCSD: A Federated Learning Based Approach for Code-Smell Detection
IEEE AccessSoftware quality is critical, as low quality, or “Code smell,” increases technical debt and maintenance costs. There is a timely need for a collaborative model that detects and manages code smells by learning from diverse and distributed ...
Sadi Alawadi +6 more
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Cross-Language Code Smell Detection via Transfer Learning
Applied SciencesCode smells are code structures that indicate a potential issue in code design or implementation. These issues could affect the processes of code testing and maintenance, and overall software quality.
Rana Sandouka, Hamoud Aljamaan
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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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Prioritizing the refactoring need for critical component using combined approach [PDF]
Decision Science Letters, 2018 One of the most promising strategies that will smooth out the maintainability issues of the software is refactoring. Due to lack of proper design approach, the code often inherits some bad smells which may lead to improper functioning of the code ...
Rajni Sehgal +2 more
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection
IEEE AccessCode embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is required to enhance code embedding for better code analysis ...
Ali Nizam +3 more
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Towards a Reliable Identification of Deficient Code with a Combination of Software Metrics
Applied Sciences, 2018 Different challenges arise while detecting deficient software source code. Usually a large number of potentially problematic entities are identified when an individual software metric or individual quality aspect is used for the identification of ...
Tina Beranič +2 more
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Interpretable Deep Learning for Efficient Code Smell Prioritization in Software Development
IEEE AccessCode smells indicate potential design flaws in software systems that can impair maintainability and increase technical debt. While existing approaches have advanced code smell priortization, they often lack effective prioritization mechanisms and ...
Maaeda M. Rashid +3 more
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Quality Improvement in Annotated Code
CLEI Electronic Journal, 2010 In order to customize their behavior at runtime, a wide sort of modern frameworks do use code annotations at the applications‟ classes as metadata configuration.
Diego A. A. Correia +3 more
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On the identification of design problems in stinky code: experiences and tool support
Journal of the Brazilian Computer Society, 2018 Background Developers often have to locate design problems in the source code. Several types of design problems may manifest as code smells in the program.
Willian Oizumi +6 more
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On the adequacy of static analysis warnings with respect to code smell prediction. [PDF]
Empir Softw Eng, 2022 Pecorelli F +4 more
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