URegM: a unified prediction model of resource consumption for refactoring software smells in open source cloud

Author:

Imran Asif1ORCID,Kosar Tevfik2ORCID

Affiliation:

1. Department of Computer Science and Information Systems, California State University San Marcos, USA

2. Department of Computer Science and Engineering, The State University of New York at Buffalo (SUNY Buffalo), USA

Publisher

ACM

Reference17 articles.

1. Zhijia Chen , Yuanchang Zhu , Yanqiang Di , and Shaochong Feng . 2015. Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network. Computational intelligence and neuroscience 2015 ( 2015 ). Zhijia Chen, Yuanchang Zhu, Yanqiang Di, and Shaochong Feng. 2015. Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network. Computational intelligence and neuroscience 2015 (2015).

2. Marios Fokaefs , Nikolaos Tsantalis , Eleni Stroulia , and Alexander Chatzigeorgiou . 2011 . JDeodorant: identification and application of extract class refactorings . In 2011 33rd International Conference on Software Engineering (ICSE). IEEE, 1037–1039 . Marios Fokaefs, Nikolaos Tsantalis, Eleni Stroulia, and Alexander Chatzigeorgiou. 2011. JDeodorant: identification and application of extract class refactorings. In 2011 33rd International Conference on Software Engineering (ICSE). IEEE, 1037–1039.

3. An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach

4. Asif Imran and Tevfik Kosar . 2020. The Impact of Auto-Refactoring Code Smells on the Resource Utilization of Cloud Software . In The 32nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2020 , KSIR Virtual Conference Center , USA , July 9-19, 2020, Raúl García-Castro (Ed.). KSI Research Inc., 299–304. https://doi.org/10.18293/SEKE2020-138 10.18293/SEKE2020-138 Asif Imran and Tevfik Kosar. 2020. The Impact of Auto-Refactoring Code Smells on the Resource Utilization of Cloud Software. In The 32nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2020, KSIR Virtual Conference Center, USA, July 9-19, 2020, Raúl García-Castro (Ed.). KSI Research Inc., 299–304. https://doi.org/10.18293/SEKE2020-138

5. Asif Imran and Tevfik Kosar . 2021. The Impact of Human Factors on Software Sustainability . In Software Sustainability . Springer , 287–300. Asif Imran and Tevfik Kosar. 2021. The Impact of Human Factors on Software Sustainability. In Software Sustainability. Springer, 287–300.

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