Filomena FERRUCCI
Filomena FERRUCCI
Professor of Software Engineering, Department of Computer Science, University of Salerno (Italy)
Email verificata su unisa.it - Home page
TitoloCitata daAnno
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
1722005
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
1642007
AMA manual of style: a guide for authors and editors
American Medical Association
Oxford University Press, 2009
862009
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
762012
A genetic algorithm to configure support vector machines for predicting fault-prone components
S Di Martino, F Ferrucci, C Gravino, F Sarro
International Conference on Product Focused Software Process Improvement …, 2011
682011
Not going to take this anymore: multi-objective overtime planning for software engineering projects
F Ferrucci, M Harman, J Ren, F Sarro
Proceedings of the 2013 International Conference on Software Engineering …, 2013
622013
Recommending and localizing change requests for mobile apps based on user reviews
F Palomba, P Salza, A Ciurumelea, S Panichella, H Gall, F Ferrucci, ...
Proceedings of the 39th international conference on software engineering …, 2017
582017
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 (3), 506-546, 2013
562013
Effort estimation modeling techniques: a case study for web applications
G Costagliola, S Di Martino, F Ferrucci, C Gravino, G Tortora, G Vitiello
Proceedings of the 6th international conference on Web engineering, 9-16, 2006
542006
Symbol–relation grammars: a formalism for graphical languages
F Ferrucci, G Pacini, G Satta, MI Sessa, G Tortora, M Tucci, G Vitiello
Information and Computation 131 (1), 1-46, 1996
541996
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
532010
Search-based software project management
F Ferrucci, M Harman, F Sarro
Software Project Management in a Changing World, 373-399, 2014
492014
A predictive parser for visual languages specified by relation grammars
F Ferrucci, G Tortora, M Tucci, G Vitiello
Proceedings of 1994 IEEE Symposium on Visual Languages, 245-252, 1994
491994
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
472010
Cross-company vs. single-company web effort models using the Tukutuku database: An extended study
E Mendes, S Di Martino, F Ferrucci, C Gravino
Journal of Systems and Software 81 (5), 673-690, 2008
442008
A case study using web objects and cosmic for effort estimation of web applications
F Ferrucci, C Gravino, S Di Martino
2008 34th Euromicro Conference Software Engineering and Advanced …, 2008
392008
Towards a framework for mining and analysing spatio‐temporal datasets
M Bertolotto, S Di Martino, F Ferrucci, T Kechadi
International Journal of Geographical Information Science 21 (8), 895-906, 2007
392007
Efficient parsing of multidimensional structures
F Ferrucci, G Pacini, G Tortora, M Tucci, G Vitiello
Proceedings 1991 IEEE Workshop on Visual Languages, 105-110, 1991
391991
Investigating the use of Support Vector Regression for web effort estimation
A Corazza, S Di Martino, F Ferrucci, C Gravino, E Mendes
Empirical Software Engineering 16 (2), 211-243, 2011
362011
Effort estimation: how valuable is it for a web company to use a cross-company data set, compared to using its own single-company data set?
E Mendes, S Di Martino, F Ferrucci, C Gravino
Proceedings of the 16th international conference on World Wide Web, 963-972, 2007
352007
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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