An Approach Based on Machine Learning for Predicting Software Design Problems

Author:

Silva Robson Keemps1ORCID,Farias Kleinner2ORCID,Kunst Rafael3ORCID,Dalzochio Jovani3ORCID

Affiliation:

1. IFMT, Brazil

2. UNISINOS, Brazil

3. UNISINOS, UNISINOS, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Publisher

ACM

Reference28 articles.

1. Len Bass , Paul Clements , and Rick Kazman . 2003. Software architecture in practice . Addison-Wesley Professional . Len Bass, Paul Clements, and Rick Kazman. 2003. Software architecture in practice. Addison-Wesley Professional.

2. Azadi et al. 2018. Poster: Machine learning based code smell detection through WekaNose . In IEEE/ACM 40th ICSE-Companion. IEEE , 288–289. Azadi et al.2018. Poster: Machine learning based code smell detection through WekaNose. In IEEE/ACM 40th ICSE-Companion. IEEE, 288–289.

3. Machine learning techniques for code smell detection: A systematic literature review and meta-analysis;Azeem;IST,2019

4. Bad Smell Detection Using Machine Learning Techniques: A Systematic Literature Review

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