Towards Semantic Detection of Smells in Cloud Infrastructure Code

@article{Kumara2020TowardsSD,
  title={Towards Semantic Detection of Smells in Cloud Infrastructure Code},
  author={I. Kumara and Zoe Vasileiou and G. Meditskos and D. Tamburri and W. V. Heuvel and Anastasios Karakostas and S. Vrochidis and Y. Kompatsiaris},
  journal={Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics},
  year={2020}
}
Automated deployment and management of Cloud applications relies on descriptions of their deployment topologies, often referred to as Infrastructure Code. As the complexity of applications and their deployment models increases, developers inadvertently introduce software smells to such code specifications, for instance, violations of good coding practices, modular structure, and more. This paper presents a knowledge-driven approach enabling developers to identify the aforementioned smells in… Expand
2 Citations
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