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Renata M. Saraiva
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2020 – today
- 2020
- [j5]Renata M. Saraiva, Amaury Medeiros, Mirko Barbosa Perkusich, Dalton Cézane Gomes Valadares, Kyller Costa Gorgônio, Angelo Perkusich, Hyggo O. Almeida:
A Bayesian Networks-Based Method to Analyze the Validity of the Data of Software Measurement Programs. IEEE Access 8: 198801-198821 (2020) - [j4]Mirko Barbosa Perkusich, Lenardo Chaves e Silva, Antonio Alexandre Moura Costa, Felipe Barbosa Araújo Ramos, Renata M. Saraiva, Arthur Silva Freire, Ednaldo Dilorenzo, Emanuel Dantas, Danilo F. S. Santos, Kyller Costa Gorgônio, Hyggo O. Almeida, Angelo Perkusich:
Intelligent software engineering in the context of agile software development: A systematic literature review. Inf. Softw. Technol. 119 (2020)
2010 – 2019
- 2019
- [j3]Emilia Mendes, Vitor Freitas, Mirko Barbosa Perkusich, João Nunes, Felipe Barbosa Araújo Ramos, Antonio Alexandre Moura Costa, Renata M. Saraiva, Arthur Silva Freire:
Using Bayesian Network to Estimate the Value of Decisions within the Context of Value-Based Software Engineering: A Multiple Case Study. Int. J. Softw. Eng. Knowl. Eng. 29(11&12): 1629-1671 (2019) - [c6]Renata M. Saraiva, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida, Angelo Perkusich:
A systematic process to define expert-driven software metrics thresholds (S). SEKE 2019: 171-226 - 2018
- [j2]Arthur Silva Freire, Mirko Barbosa Perkusich, Renata M. Saraiva, Hyggo Oliveira de Almeida, Angelo Perkusich:
A Bayesian networks-based approach to assess and improve the teamwork quality of agile teams. Inf. Softw. Technol. 100: 119-132 (2018) - 2017
- [c5]Leonardo Da Costa Santos, Renata M. Saraiva, Mirko Barbosa Perkusich, Hyggo O. Almeida, Angelo Perkusich:
An empirical study on the influence of context in computing thresholds for Chidamber and Kemerer metrics. SEKE 2017: 357-362 - [c4]Renata M. Saraiva, Mirko Barbosa Perkusich, Hyggo O. Almeida, Angelo Perkusich:
A Process to Calculate the Uncertainty of Software Metrics-based Models Using Bayesian Networks. SEKE 2017: 467-472 - 2016
- [j1]Renata M. Saraiva, Mirko Barbosa Perkusich, Lenardo Chaves e Silva, Hyggo Oliveira de Almeida, Clauirton de Siebra, Angelo Perkusich:
Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning. Expert Syst. Appl. 61: 192-202 (2016) - [c3]Raissa Matias da Silva, Mirko Barbosa Perkusich, Renata M. Saraiva, Arthur Silva Freire, Hyggo O. Almeida, Angelo Perkusich:
Improving the Applicability of Bayesian Networks through Production Rules. SEKE 2016: 8-13 - [c2]Renan Willamy, João Nunes, Mirko Barbosa Perkusich, Arthur Silva Freire, Renata M. Saraiva, Hyggo O. Almeida, Angelo Perkusich:
A Method to Build Bayesian Networks based on Artifacts and Metrics to Assess Agile Projects. SEKE 2016: 81-86 - 2015
- [c1]Renata M. Saraiva, João Bezerra, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida, Clauirton de Siebra:
A Hybrid Approach Using Case-Based Reasoning and Rule-Based Reasoning to Support Cancer Diagnosis: A Pilot Study. MedInfo 2015: 862-866
Coauthor Index
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