Bruno T. de Abreu

According to our database, Bruno T. de Abreu authored at least 9 papers between 2005 and 2010.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2010

Machine Learning Methods and Asymmetric Cost Function to Estimate Execution Effort of Software Testing.

Daniel Guerreiro e Silva, Mário Jino, Bruno Teixeira de Abreu

Proceedings of the Third International Conference on Software Testing, 2010

2009

Mapping Web-Based Applications Failures to Faults.

Regina Lúcia de Oliveira Moraes, Bruno Teixeira de Abreu, Eliane Martins

Proceedings of the Fourth Latin-American Symposium on Dependable Computing, 2009

A Simple Approach for Estimation of Execution Effort of Functional Test Cases.

Daniel Guerreiro e Silva, Bruno Teixeira de Abreu, Mário Jino

Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009

An Alternative Approach to Test Effort Estimation Based on Use Cases.

Érika Regina Campos de Almeida, Bruno Teixeira de Abreu, Regina Lúcia de Oliveira Moraes

Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009

2008

Avaliação de um Método para Estimativa de Esforço para Testes baseado em Casos de Uso.

Érika R. C. de Almeida, Bruno T. de Abreu, Regina Moraes, Eliane Martins

Proceedings of the 7th Brazilian Symposium on Software Quality, 2008

2007

A variant of the Ford-Johnson algorithm that is more space efficient.

Mauricio Ayala-Rincón, Bruno T. de Abreu, José de Siqueira

Inf. Process. Lett., 2007

Generalized Extremal Optimization: a competitive algorithm for test data generation.

Bruno T. de Abreu, Eliane Martins, Fabiano Luis de Sousa

Proceedings of the 21st Brazilian Symposium on Software Engineering, 2007

Generalized extremal optimization: an attractive alternative for test data generation.

Bruno Teixeira de Abreu, Eliane Martins, Fabiano Luis de Sousa

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2005

Automatic test data generation for path testing using a new stochastic algorithm.

Bruno T. de Abreu, Eliane Martins, Fabiano Luis de Sousa

Proceedings of the 19th Brazilian Symposium on Software Engineering, 2005