Assessment of Code Smell for Predicting Class Change Proneness Using Machine Learning

Assessment of code smell for predicting software change proneness is essential to ensure its significance in the area of software quality. While multiple studies have been conducted in this regard, the number of systems studied and the methods used in this paper are quite different, thus, causing co...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: Nakul Pritam, Manju Khari, Le Hoang Son, Raghvendra Kumar, Sudan Jha, Ishaani Priyadarshini, Mohamed Abdel-Basset, Hoang Viet Long
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2019-01-01
الموضوعات:
Code smell
change proneness
software maintenance
machine learning
multilayer perceptron
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/8667419/

الانترنت

https://ieeexplore.ieee.org/document/8667419/

مواد مشابهة