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Predicting a Program’s Execution Time After Move Method Refactoring Based on Deep Learning and Feature Interaction
Yu, Yamei, Lu, Yifan, Liang, Siyi, Zhang, Xuguang, Zhang, Liyan, Bai, Yu, Zhang, Yang
Published in Applied sciences (01.04.2025)
Published in Applied sciences (01.04.2025)
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Journal Article
Identification of Move Method Refactoring Opportunities
Tsantalis, N., Chatzigeorgiou, A.
Published in IEEE transactions on software engineering (01.05.2009)
Published in IEEE transactions on software engineering (01.05.2009)
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Journal Article
Move method refactoring recommendation based on deep learning and LLM-generated information
Zhang, Yang, Li, Yanlei, Meredith, Grant, Zheng, Kun, Li, Xiaobin
Published in Information sciences (01.04.2025)
Published in Information sciences (01.04.2025)
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Journal Article
JMove: A novel heuristic and tool to detect move method refactoring opportunities
Terra, Ricardo, Valente, Marco Tulio, Miranda, Sergio, Sales, Vitor
Published in The Journal of systems and software (01.04.2018)
Published in The Journal of systems and software (01.04.2018)
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Journal Article
Machine Learning-Based Exploration of the Impact of Move Method Refactoring on Object-Oriented Software Quality Attributes
Al Dallal, Jehad, Abdulsalam, Hanady, AlMarzouq, Mohammad, Selamat, Ali
Published in Arabian journal for science and engineering (2011) (01.03.2024)
Published in Arabian journal for science and engineering (2011) (01.03.2024)
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Journal Article
Detecting and resolving feature envy through automated machine learning and move method refactoring
Al-Fraihat, Dimah, Sharrab, Yousef, Al-Ghuwairi, Abdel-Rahman, AlElaimat, Majed, Alzaidi, Maram
Published in International journal of electrical and computer engineering (Malacca, Malacca) (01.04.2024)
Published in International journal of electrical and computer engineering (Malacca, Malacca) (01.04.2024)
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Journal Article
Three Heads Are Better Than One: Suggesting Move Method Refactoring Opportunities with Inter-class Code Entity Dependency Enhanced Hybrid Hypergraph Neural Network
Cui, Di, Wang, Jiaqi, Wang, Qiangqiang, Ji, Peng, Qiao, Minglang, Zhao, Yutong, Hu, Jingzhao, Wang, Luqiao, Li, Qingshan
Published in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (27.10.2024)
Published in IEEE/ACM International Conference on Automated Software Engineering : [proceedings] (27.10.2024)
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Conference Proceeding
MMRUC3: A recommendation approach of move method refactoring using coupling, cohesion, and contextual similarity to enhance software design
Rahman, Md. Masudur, Riyadh, Rashed Rubby, Khaled, Shah Mostafa, Satter, Abdus, Rahman, Md. Rayhanur
Published in Software, practice & experience (01.09.2018)
Published in Software, practice & experience (01.09.2018)
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Journal Article
Recommending Move Method refactorings using dependency sets
Sales, Vitor, Terra, Ricardo, Miranda, Luis Fernando, Valente, Marco Tulio
Published in Proceedings / Working Conference on Reverse Engineering (01.10.2013)
Published in Proceedings / Working Conference on Reverse Engineering (01.10.2013)
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Conference Proceeding
An efficient approach to identify multiple and independent Move Method refactoring candidates
Han, Ah-Rim, Bae, Doo-Hwan, Cha, Sungdeok
Published in Information and software technology (01.03.2015)
Published in Information and software technology (01.03.2015)
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Journal Article
Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring
Batole, Fraol, Bellur, Abhiram, Dilhara, Malinda, Ullah, Mohammed Raihan, Zharov, Yaroslav, Bryksin, Timofey, Ishikawa, Kai, Chen, Haifeng, Morimoto, Masaharu, Motoura, Shota, Hosomi, Takeo, Nguyen, Tien N, Rajan, Hridesh, Tsantalis, Nikolaos, Dig, Danny
Year of Publication 26.03.2025
Year of Publication 26.03.2025
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Journal Article
Predicting Execution Time for Move Method Refactoring Base on Deep Learning
Lu, Yifan, Liang, Siyi, Yu, Yamei, Zhang, Yang, Zheng, Kun
Published in 2025 7th International Conference on Software Engineering and Computer Science (CSECS) (21.03.2025)
Published in 2025 7th International Conference on Software Engineering and Computer Science (CSECS) (21.03.2025)
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Conference Proceeding
RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code
Cui, Di, Wang, Siqi, Luo, Yong, Li, Xingyu, Dai, Jie, Wang, Lu, Li, Qingshan
Published in Proceedings - Conference on Software Maintenance (1987) (01.10.2022)
Published in Proceedings - Conference on Software Maintenance (1987) (01.10.2022)
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Conference Proceeding
RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code
Cui, Di, Wang, Siqi, Luo, Yong, Li, Xingyu, Dai, Jie, Wang, Lu, Li, Qingshan
Published in arXiv.org (23.12.2022)
Published in arXiv.org (23.12.2022)
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Paper
Journal Article
Recommendation of Move Method Refactoring Using Path-Based Representation of Code
Kurbatova, Zarina, Veselov, Ivan, Golubev, Yaroslav, Bryksin, Timofey
Year of Publication 15.02.2020
Year of Publication 15.02.2020
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Journal Article