Investigating Non-Usually Employed Features in the Identification of Architectural Smells: A Machine Learning-Based Approach

Warteruzannan Soyer Cunha, Guisella Angulo Armijo, Valter Vieira de Camargo. Investigating Non-Usually Employed Features in the Identification of Architectural Smells: A Machine Learning-Based Approach. In Everton Cavalcante, Francisco Dantas, Thaís Batista, Gustavo Pinto 0001, editors, SBCARS '20: 14th Brazilian Symposium on Software Components, Architectures, and Reuse, Natal, Brazil, October 19-23, 2020. pages 21-30, ACM, 2020. [doi]

@inproceedings{CunhaAC20,
  title = {Investigating Non-Usually Employed Features in the Identification of Architectural Smells: A Machine Learning-Based Approach},
  author = {Warteruzannan Soyer Cunha and Guisella Angulo Armijo and Valter Vieira de Camargo},
  year = {2020},
  doi = {10.1145/3425269.3425281},
  url = {https://doi.org/10.1145/3425269.3425281},
  researchr = {https://researchr.org/publication/CunhaAC20},
  cites = {0},
  citedby = {0},
  pages = {21-30},
  booktitle = {SBCARS '20: 14th Brazilian Symposium on Software Components, Architectures, and Reuse, Natal, Brazil, October 19-23, 2020},
  editor = {Everton Cavalcante and Francisco Dantas and Thaís Batista and Gustavo Pinto 0001},
  publisher = {ACM},
  isbn = {978-1-4503-8754-5},
}