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Assessment of Odor Removal in Rigid Polypropylene Waste: Comprehensive Characterization and Washing Comparison. [PDF]
Glob ChallBelé TGA +4 more
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Connectomic mapping of pharyngeal and gut sensory circuits in adult <i>Drosophila</i>. [PDF]
iScienceGiakoumas DS, Zhu JM, Jamal A, Yao Z.
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Calcium propionate in tortillas - a likely cause of a large outbreak of acute gastrointestinal illness, Finland, 2023. [PDF]
Euro SurveillVaro V +9 more
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Code smell detection and identification in imbalanced environments
Expert Systems With Applications, 2021 Context: Code smells are sub-optimal design choices that could lower software maintainability.Objective: Previous literature did not consider an important characteristic of the smell detection problem,namely data imbalance. When considering a high number of code smell types, the number of smelly classesis likely to largely exceed the number of non ...
Sofien Boutaib +2 more
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Deep Learning Based Code Smell Detection
IEEE Transactions on Software Engineering, 2021 Code smells are structures in the source code that suggest the possibility of refactorings. Consequently, developers may identify refactoring opportunities by detecting code smells. However, manual identification of code smells is challenging and tedious.
Lu Zhang, Lu Zhang, Hui Liu
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On the relative value of imbalanced learning for code smell detection
Software - Practice and Experience, 2023Machine learning-based code smell detection has been demonstrated to be a valuable approach for improving software quality and enabling developers to identify problematic patterns in code. However, previous researches have shown that the code smell datasets commonly used to train these models are heavily imbalanced. While some recent
Shuo Feng, Jacky Wai Keung, Xiao Yu
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Detecting Code Smells in Python Programs
2016 International Conference on Software Analysis, Testing and Evolution (SATE), 2016As a traditional dynamic language, Python is increasingly used in various software engineering tasks. However, due to its flexibility and dynamism, Python is a particularly challenging language to write code in and maintain. Consequently, Python programs contain code smells which indicate potential comprehension and maintenance problems.
Zhifei Chen +3 more
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JSNOSE: Detecting JavaScript Code Smells
2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2013JavaScript 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-Smell Detection as a Bilevel Problem
ACM Transactions on Software Engineering and Methodology, 2014Code 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 +3 more
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Leveraging Code Smell Detection with Inter-smell Relations
2006The variety of code smells deserves a numerous set of detectors capable of sensing them. There exist several sources of data that may be examined: code metrics, existence of particular elements in an abstract syntax tree, specific code behavior or subsequent changes in the code. Another factor that can be used for this purpose is the knowledge of other,
Blazej Pietrzak, Bartosz Walter
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