On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring-Reference-Cited by-同舟云学术

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On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring

Published:2014 Issue: Volume: Page:31-45
ISSN:0302-9743
Container-title:Search-Based Software Engineering
language:
Short-container-title:

Author:

Amal Boukhdhir,Kessentini Marouane,Bechikh Slim,Dea Josselin,Said Lamjed Ben

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-09940-8_3

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures;Automated Software Engineering;2024-06-06

2. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

3. Studying the Influence and Distribution of the Human Effort in a Hybrid Fitness Function for Search-Based Model-Driven Engineering;IEEE Transactions on Software Engineering;2023-12

4. Feature selection in an interactive search-based PLA design approach;Proceedings of the 17th Brazilian Symposium on Software Components, Architectures, and Reuse;2023-09-25

5. Validating an Interactive Ranking Operator for NSGA-II to Support the Optimization of Software Engineering Problems;Proceedings of the XXXVI Brazilian Symposium on Software Engineering;2022-10-05

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