Baldoino Fonseca
Baldoino Fonseca
Professor - Computer Science - Federal University of Alagoas
Потвърден имейл адрес: ic.ufal.br - Начална страница
Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses
EB Costa, B Fonseca, MA Santana, FF de Araújo, J Rego
Computers in human behavior 73, 247-256, 2017
Understanding the impact of refactoring on smells: A longitudinal study of 23 software projects
D Cedrim, A Garcia, M Mongiovi, R Gheyi, L Sousa, R De Mello, ...
Proceedings of the 2017 11th Joint Meeting on foundations of Software …, 2017
Experience report: Evaluating the effectiveness of decision trees for detecting code smells
L Amorim, E Costa, N Antunes, B Fonseca, M Ribeiro
2015 IEEE 26th international symposium on software reliability engineering …, 2015
Discipline Matters: Refactoring of Preprocessor Directives in the#ifdefHell
F Medeiros, M Ribeiro, R Gheyi, S Apel, C Kästner, B Ferreira, L Carvalho, ...
IEEE Transactions on Software Engineering 44 (5), 453-469, 2017
Software metrics and security vulnerabilities: dataset and exploratory study
H Alves, B Fonseca, N Antunes
2016 12th European Dependable Computing Conference (EDCC), 37-44, 2016
Identifying design problems in the source code: A grounded theory
L Sousa, A Oliveira, W Oizumi, S Barbosa, A Garcia, J Lee, M Kalinowski, ...
Proceedings of the 40th international conference on software engineering …, 2018
Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection
F Falcão, T Zoppi, CBV Silva, A Santos, B Fonseca, A Ceccarelli, ...
Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 318-327, 2019
A quantitative study on characteristics and effect of batch refactoring on code smells
AC Bibiano, E Fernandes, D Oliveira, A Garcia, M Kalinowski, B Fonseca, ...
2019 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2019
Experimenting machine learning techniques to predict vulnerabilities
H Alves, B Fonseca, N Antunes
2016 Seventh Latin-American Symposium on Dependable Computing (LADC), 151-156, 2016
Are you smelling it? Investigating how similar developers detect code smells
M Hozano, A Garcia, B Fonseca, E Costa
Information and Software Technology 93, 130-146, 2018
Assessing fine-grained feature dependencies
I Rodrigues, M Ribeiro, F Medeiros, P Borba, B Fonseca, R Gheyi
Information and Software Technology 78, 27-52, 2016
A predictive model for identifying students with dropout profiles in online courses.
MA Santana, E de Barros Costa, BF dos Santos Neto, ICL Silva, ...
EDM (Workshops), 2015
The buggy side of code refactoring: Understanding the relationship between refactorings and bugs
I Ferreira, E Fernandes, D Cedrim, A Uchôa, AC Bibiano, A Garcia, ...
Proceedings of the 40th international conference on software engineering …, 2018
Pallister–Hall syndrome: Unreported skeletal features of a GLI3 mutation
T Roscioli, D Kennedy, J Cui, B Fonseca, GF Watson, J Pereira, YG Xie, ...
American Journal of Medical Genetics Part A 136 (4), 390-394, 2005
On the performance and adoption of search-based microservice identification with tomicroservices
L Carvalho, A Garcia, TE Colanzi, WKG Assunção, JA Pereira, B Fonseca, ...
2020 IEEE International Conference on Software Maintenance and Evolution …, 2020
Avaliando o uso das ferramentas educacionais no ambiente virtual de aprendizagem moodle
MA Santana, BF dos Santos Neto, E de Barros Costa
Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2014
How does incomplete composite refactoring affect internal quality attributes?
AC Bibiano, V Soares, D Coutinho, E Fernandes, JL Correia, K Santos, ...
Proceedings of the 28th International Conference on Program Comprehension …, 2020
Refactoring test smells: A perspective from open-source developers
E Soares, M Ribeiro, G Amaral, R Gheyi, L Fernandes, A Garcia, ...
Proceedings of the 5th Brazilian Symposium on Systematic and Automated …, 2020
AutoRefactoring: A platform to build refactoring agents
BF dos Santos Neto, M Ribeiro, VT Da Silva, C Braga, CJP De Lucena, ...
Expert systems with applications 42 (3), 1652-1664, 2015
Colligens: A Tool to Support the Development of Preprocessor-Based Software Product Lines in C
F Medeiros, T Lima, F Dalton, M Ribeiro, R Gheyi, B ANDFONSECA
Proc. Brazilian Conf. Software: Theory and Practice (CBSoft), 2013
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