BOOSTING AND COMPARING PERFORMANCE OF MACHINE LEARNING CLASSIFIERS WITH META-HEURISTIC TECHNIQUES TO DETECT CODE SMELL

Boosting and Comparing Performance of Machine Learning Classifiers with Meta-heuristic Techniques to Detect Code Smell

Background: Continuous modifications, suboptimal software design practices, and stringent project deadlines contribute to the proliferation of code smells.Detecting and refactoring these code smells are pivotal to maintaining complex and essential software systems.Neglecting them may lead to future software defects, rendering systems challenging to

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Decision Tree and Texture Analysis for Mapping Debris-Covered Glaciers in the Kangchenjunga Area, Eastern Himalaya

In this study we use visible, short-wave infrared and thermal Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data validated with high-resolution Quickbird (QB) and Worldview2 (WV2) for mapping debris cover in the eastern Himalaya using two independent approaches: (a) a decision tree algorithm, and (b) texture analysis.The de

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Love Of Money, Organizational Commitment, Leadership Morale, Work Environment and Religious Beliefs on Fraud Intention A Study on Bank Bengkulu Employees

2000 bmw 528i front bumper This study aims to examine the effect of Love Of Money, Organizational Commitment, Moral Leadership, Work Environment and Religious Beliefs on Fraud Intention where the object of research used is Bengkulu Bank employees.The employees of Bengkulu Bank who were selected as the research sample used the random sampling method

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