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Óscar Rodríguez-Prieto
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An efficient and scalable platform for Java source code analysis using overlaid graph representations
O Rodriguez-Prieto, A Mycroft, F Ortin
IEEE Access 8, 72239-72260, 2020
162020
Heterogeneous tree structure classification to label Java programmers according to their expertise level
F Ortin, O Rodriguez-Prieto, N Pascual, M Garcia
Future Generation Computer Systems 105, 380-394, 2020
162020
Big Code: New Opportunities for Improving Software Construction.
F Ortin, J Escalada, O Rodriguez-Prieto
J. Softw. 11 (11), 1083-1088, 2016
112016
Discovering related scientific literature beyond semantic similarity: a new co-citation approach
O Rodriguez-Prieto, L Araujo, J Martinez-Romo
Scientometrics 120 (1), 105-127, 2019
72019
Efficient runtime aspect weaving for java applications
O Rodriguez-Prieto, F Ortin, D O’Shea
Information and Software Technology 100, 73-86, 2018
22018
Graph Representations used in the design of ProgQuery
Ó Rodríguez Prieto, F Ortín Soler
12020
An empirical evaluation of Lex/Yacc and ANTLR parser generation tools
F Ortin, J Quiroga, O Rodriguez-Prieto, M Garcia
Plos one 17 (3), e0264326, 2022
2022
Evaluation of the Use of Different Parser Generators in a Compiler Construction Course
F Ortin, J Quiroga, O Rodriguez-Prieto, M Garcia
World Conference on Information Systems and Technologies, 338-346, 2022
2022
Big Code infrastructure to improve quality in software development
Ó Rodríguez Prieto
2020
Big code infraestructure for building tools to improve software development
Ó Rodríguez Prieto
Servicio de Medios Audiovisuales, 2020
2020
Heterogeneous tree structure classification to label Java programmers according to their expertise level
F Ortín Soler, Ó Rodríguez Prieto, N Pascual, M García Rodríguez
Future Generation Computer Systems, 105, 2020
2020
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Articles 1–11