Renata M. Saraiva

According to our database, Renata M. Saraiva authored at least 11 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Intelligent software engineering in the context of agile software development: A systematic literature review.

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

Inf. Softw. Technol., 2020

A Bayesian Networks-Based Method to Analyze the Validity of the Data of Software Measurement Programs.

Renata M. Saraiva, Amaury Medeiros, Mirko Barbosa Perkusich, Dalton Cézane Gomes Valadares, Kyller Costa Gorgônio, Angelo Perkusich, Hyggo O. Almeida

IEEE Access, 2020

2019

Using Bayesian Network to Estimate the Value of Decisions within the Context of Value-Based Software Engineering: A Multiple Case Study.

Emilia Mendes, Vitor Freitas, Mirko Barbosa Perkusich, João Nunes, Felipe Barbosa Araújo Ramos, Antonio Alexandre Moura Costa, Renata M. Saraiva, Arthur Silva Freire

Int. J. Softw. Eng. Knowl. Eng., 2019

A systematic process to define expert-driven software metrics thresholds (S).

Renata M. Saraiva, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida, Angelo Perkusich

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

2018

A Bayesian networks-based approach to assess and improve the teamwork quality of agile teams.

Arthur Silva Freire, Mirko Barbosa Perkusich, Renata M. Saraiva, Hyggo Oliveira de Almeida, Angelo Perkusich

Inf. Softw. Technol., 2018

2017

A Process to Calculate the Uncertainty of Software Metrics-based Models Using Bayesian Networks.

Renata M. Saraiva, Mirko Barbosa Perkusich, Hyggo O. Almeida, Angelo Perkusich

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

An empirical study on the influence of context in computing thresholds for Chidamber and Kemerer metrics.

Leonardo Da Costa Santos, Renata M. Saraiva, Mirko Barbosa Perkusich, Hyggo O. Almeida, Angelo Perkusich

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016

Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning.

Renata M. Saraiva, Mirko Barbosa Perkusich, Lenardo Chaves e Silva, Hyggo Oliveira de Almeida, Clauirton de Siebra, Angelo Perkusich

Expert Syst. Appl., 2016

A Method to Build Bayesian Networks based on Artifacts and Metrics to Assess Agile Projects.

Renan Willamy, João Nunes, Mirko Barbosa Perkusich, Arthur Silva Freire, Renata M. Saraiva, Hyggo O. Almeida, Angelo Perkusich

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Improving the Applicability of Bayesian Networks through Production Rules.

Raissa Matias da Silva, Mirko Barbosa Perkusich, Renata M. Saraiva, Arthur Silva Freire, Hyggo O. Almeida, Angelo Perkusich

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

2015

A Hybrid Approach Using Case-Based Reasoning and Rule-Based Reasoning to Support Cancer Diagnosis: A Pilot Study.

Renata M. Saraiva, João Bezerra, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida, Clauirton de Siebra

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015