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Filomena FERRUCCI
Filomena FERRUCCI
Professor of Software Engineering, Department of Computer Science, University of Salerno (Italy)
Verified email at unisa.it - Homepage
Title
Cited by
Cited by
Year
Exploratory spatio-temporal data mining and visualization
P Compieta, S Di Martino, M Bertolotto, F Ferrucci, T Kechadi
Journal of Visual Languages & Computing 18 (3), 255-279, 2007
2102007
Class point: an approach for the size estimation of object-oriented systems
G Costagliola, F Ferrucci, G Tortora, G Vitiello
IEEE Transactions on Software Engineering 31 (1), 52-74, 2005
2082005
Recommending and localizing change requests for mobile apps based on user reviews
F Palomba, P Salza, A Ciurumelea, S Panichella, H Gall, F Ferrucci, ...
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
1762017
AMA manual of style: a guide for authors and editors
American Medical Association
Oxford University Press, 2019
1732019
Gender diversity and women in software teams: How do they affect community smells?
G Catolino, F Palomba, DA Tamburri, A Serebrenik, F Ferrucci
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
1372019
Agile methodologies in education: A review
P Salza, P Musmarra, F Ferrucci
Agile and lean concepts for teaching and learning: Bringing methodologies …, 2019
1162019
Not all bugs are the same: Understanding, characterizing, and classifying bug types
G Catolino, F Palomba, A Zaidman, F Ferrucci
Journal of Systems and Software 152, 165-181, 2019
1142019
A parallel genetic algorithm based on hadoop mapreduce for the automatic generation of junit test suites
L Di Geronimo, F Ferrucci, A Murolo, F Sarro
2012 IEEE fifth international conference on software testing, verification …, 2012
1102012
A genetic algorithm to configure support vector machines for predicting fault-prone components
S Di Martino, F Ferrucci, C Gravino, F Sarro
Product-Focused Software Process Improvement: 12th International Conference …, 2011
1062011
Using tabu search to configure support vector regression for effort estimation
A Corazza, S Di Martino, F Ferrucci, C Gravino, F Sarro, E Mendes
Empirical Software Engineering 18, 506-546, 2013
1002013
Not going to take this anymore: Multi-objective overtime planning for software engineering projects
F Ferrucci, M Harman, J Ren, F Sarro
2013 35th International Conference on Software Engineering (ICSE), 462-471, 2013
942013
Genetic programming for effort estimation: an analysis of the impact of different fitness functions
F Ferrucci, C Gravino, R Oliveto, F Sarro
2nd International symposium on search based software engineering, 89-98, 2010
852010
Search-based software project management
F Ferrucci, M Harman, F Sarro
Software project management in a changing world, 373-399, 2014
792014
How effective is tabu search to configure support vector regression for effort estimation?
A Corazza, S Di Martino, F Ferrucci, C Gravino, F Sarro, E Mendes
Proceedings of the 6th international conference on predictive models in …, 2010
702010
Cross-project just-in-time bug prediction for mobile apps: An empirical assessment
G Catolino, D Di Nucci, F Ferrucci
2019 IEEE/ACM 6th International Conference on Mobile Software Engineering …, 2019
662019
Web effort estimation: function point analysis vs. COSMIC
S Di Martino, F Ferrucci, C Gravino, F Sarro
Information and Software Technology 72, 90-109, 2016
642016
Using hadoop mapreduce for parallel genetic algorithms: A comparison of the global, grid and island models
F Ferrucci, P Salza, F Sarro
Evolutionary computation 26 (4), 535-567, 2018
592018
A further analysis on the use of genetic algorithm to configure support vector machines for inter-release fault prediction
F Sarro, S Di Martino, F Ferrucci, C Gravino
Proceedings of the 27th annual ACM symposium on applied computing, 1215-1220, 2012
592012
Enhancing change prediction models using developer-related factors
G Catolino, F Palomba, A De Lucia, F Ferrucci, A Zaidman
Journal of Systems and software 143, 14-28, 2018
582018
Adaptive multi-objective evolutionary algorithms for overtime planning in software projects
F Sarro, F Ferrucci, M Harman, A Manna, J Ren
IEEE Transactions on Software Engineering 43 (10), 898-917, 2017
582017
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