Federica Sarro
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A survey of app store analysis for software engineering
W Martin, F Sarro, M Harman, Y Jia, Y Zhang
Transactions on Software Engineering, 2016
The Plastic Surgery Hypothesis
ET Barr, Y Brun, P Devanbu, M Harman, F Sarro
22nd ACM SIGSOFT International Symposium on the Foundations of Software …, 2014
Multi-objective Software Effort Estimation
F Sarro, A Petrozziello, M Harman
38th International Conference on Software Engineering (ICSE'16), 2016
The App Sampling Problem for App Store Mining
W Martin, M Harman, Y Jia, F Sarro, Y Zhang
MSR'15, 2015
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
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
Empirical standards for software engineering research
P Ralph, N Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, M Felderer, ...
arXiv preprint arXiv:2010.03525, 2020
Cross-validation based K nearest neighbor imputation for software quality datasets: an empirical study
J Huang, JW Keung, F Sarro, YF Li, YT Yu, WK Chan, H Sun
Journal of Systems and Software 132, 226-252, 2017
Exact mean absolute error of baseline predictor, MARP0
WB Langdon, J Dolado, F Sarro, M Harman
Information and Software Technology 73, 16-18, 2016
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
Causal Impact Analysis for App Releases in Google Play
W Martin, F Sarro, M Harman
24th ACM SIGSOFT International Symposium on the Foundations of Software …, 2016
Clustering mobile apps based on mined textual features
AA Al-Subaihin, F Sarro, S Black, L Capra, M Harman, Y Jia, Y Zhang
Proceedings of the 10th ACM/IEEE international symposium on empirical …, 2016
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
The importance of accounting for real-world labelling when predicting software vulnerabilities
M Jimenez, R Rwemalika, M Papadakis, F Sarro, Y Le Traon, M Harman
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
A survey on machine learning techniques applied to source code
T Sharma, M Kechagia, S Georgiou, R Tiwari, I Vats, H Moazen, F Sarro
Journal of Systems and Software 209, 111934, 2024
Feature Lifecycles as They Spread, Migrate, Remain, and Die in App Stores
F Sarro, A AlSubaihin, M Harman, Y Jia, W Martin, Y Zhang
Requirements Engineering, 76-85, 2015
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
App Store Effects on Software Engineering Practices
A AlSubaihin, F Sarro, S Black, L Capra, M Harman
IEEE Transactions on Software Engineering, 2019
Investigating the relationship between price, rating, and popularity in the Blackberry World App Store
A Finkelstein, M Harman, Y Jia, W Martin, F Sarro, Y Zhang
Information and Software Technology 87, 119-139, 2017
Bias mitigation for machine learning classifiers: A comprehensive survey
M Hort, Z Chen, JM Zhang, M Harman, F Sarro
ACM Journal on Responsible Computing 1 (2), 1-52, 2024
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