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In this paper, we focus on three code smells: God Class, God Method, and Feature Envy.
For MobileMedia, the same happens for God Method and Feature Envy.
We investigate recall, precision, and agreement of tools in detecting three code smells: God Class, God Method, and Feature Envy.
We calculated the accuracy of each tool in the detection of three code smells: God Class, God Method, and Feature Envy.
However, inFusion is the most conservative tool, with a total of 28 code smell instances for God Class, God Method, and Feature Envy.
More specifically, in several classes the createDataStoreReferences method is affected by the Shotgun Surgery, Long Method, and Feature Envy code anomalies.
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Overall, the existing shadow removal methods can be divided into two categories: model-based method and feature-based method.
NTP/C was prepared through a simple and scalable co-precipitation post annealing treatment method and featured with hierarchical structure, high specific surface area, and abundant mesopores.
Numerical simulation of surface generation is conducted to demonstrate the effectiveness of the novel machining method and features of the obtained hierarchical structures.
Ranking method and Friedman's statistical test are also performed to rank and compare different combinations of feature extraction methods and feature selection methods which endorse the efficacy of the proposed approach.
Additionally, Guyon and Elisseeff elaborated a wide range of aspects in feature selection including a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods and feature validity assessment methods [ 26].
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