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Ricardo Britto
Ricardo Britto
Ericsson / Blekinge Institute of Technology, SERL-Sweden
Dirección de correo verificada de ericsson.com
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Effort estimation in Agile Software Development: A systematic literature review
M Usman, E Mendes, F Weidt, R Britto
Proceedings of the 10th International Conference on Predictive Models in …, 2014
3302014
Taxonomies in software engineering: A systematic mapping study and a revised taxonomy development method
M Usman, R Britto, J Börstler, E Mendes
Information and Software Technology 85, 43-59, 2017
2072017
Effort estimation in large-scale software development: An industrial case study
M Usman, R Britto, LO Damm, J Börstler
Information and Software Technology 99, 21-40, 2018
812018
Onboarding software developers and teams in three globally distributed legacy projects: A multi‐case study
R Britto, DS Cruzes, D Smite, A Sablis
Journal of Software: Evolution and Process 30 (4), e1921, 2018
762018
Effort estimation in global software development: A systematic literature review
R Britto, V Freitas, E Mendes, M Usman
Proceedings of 9th IEEE International Conference on Global Software …, 2014
682014
Bloom's taxonomy in software engineering education: A systematic mapping study
R Britto, M Usman
2015 IEEE Frontiers in Education Conference (FIE), 1-8, 2015
622015
An Empirical Investigation on the Challenges Faced by Women in the Software Industry: A Case Study
B Trinkenreich, R Britto, MA Gerosa, I Steinmacher
2022 IEEE/ACM 44th International Conference on Software Engineering …, 2022
572022
An empirical investigation on effort estimation in agile global software development
R Britto, E Mendes, J Börstler
2015 IEEE 10th international conference on global software engineering, 38-45, 2015
572015
Evaluating and strategizing the onboarding of software developers in large-scale globally distributed projects
R Britto, D Smite, LO Damm, J Börstler
Journal of Systems and Software 169, 110699, 2020
492020
Software Architects in Large-Scale Distributed Projects: An Ericsson Case Study
R Britto, D Smite, LO Damm
IEEE Software 33 (6), 48-55, 2016
452016
A hybrid approach to solve the agile team allocation problem
R Britto, PS Neto, R Rabelo, W Ayala, T Soares
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
412012
Modern code reviews-preliminary results of a systematic mapping study
D Badampudi, R Britto, M Unterkalmsteiner
Proceedings of the 23rd International Conference on Evaluation and …, 2019
312019
Effort estimation in co-located and globally distributed agile software development: A comparative study
M Usman, R Britto
2016 joint conference of the international workshop on software measurement …, 2016
312016
Effort Estimation in Agile Global Software Development Context
R Britto, M Usman, E Mendes
Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation …, 2014
312014
Adapting Behavior Driven Development (BDD) for large-scale software systems
M Irshad, R Britto, K Petersen
Journal of Systems and Software 177, 110944, 2021
282021
An extended global software engineering taxonomy
R Britto, C Wohlin, E Mendes
Journal of Software Engineering Research and Development 4 (1), 1-24, 2016
272016
A hybrid approach for test case prioritization and selection
D Silva, R Rabelo, M Campanhã, PS Neto, PA Oliveira, R Britto
Evolutionary Computation (CEC), 2016 IEEE Congress on, 4508-4515, 2016
272016
Toward a hybrid approach to generate software product line portfolios
J Cruz, PS Neto, R Britto, R Rabelo, W Ayala, T Soares, M Mota
2013 IEEE Congress on Evolutionary Computation, 2229-2236, 2013
272013
Modern Code Reviews—Survey of Literature and Practice
D Badampudi, M Unterkalmsteiner, R Britto
ACM Transactions on Software Engineering and Methodology 32 (4), 1-61, 2023
262023
Using a context-aware approach to recommend code reviewers: findings from an industrial case study
A Strand, M Gunnarson, R Britto, M Usman
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
262020
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