Članki z zahtevami za javni dostop - Federica SarroVeč o tem
Na voljo nekje: 75
A survey of app store analysis for software engineering
W Martin, F Sarro, M Harman, Y Jia, Y Zhang
Transactions on Software Engineering, 2016
Zahteve: UK Engineering and Physical Sciences Research Council
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
Zahteve: UK Engineering and Physical Sciences Research Council
Multi-objective Software Effort Estimation
F Sarro, A Petrozziello, M Harman
38th International Conference on Software Engineering (ICSE'16), 2016
Zahteve: UK Engineering and Physical Sciences Research Council
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
Zahteve: European Commission, UK Research & Innovation
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
Zahteve: European Commission
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
Zahteve: Research Grants Council, Hong Kong
Green ai: Do deep learning frameworks have different costs?
S Georgiou, M Kechagia, T Sharma, F Sarro, Y Zou
Proceedings of the 44th International Conference on Software Engineering …, 2022
Zahteve: European Commission
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
Zahteve: European Commission, Luxembourg National Research Fund
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
Zahteve: UK Engineering and Physical Sciences Research Council
A comprehensive empirical study of bias mitigation methods for machine learning classifiers
Z Chen, JM Zhang, F Sarro, M Harman
ACM transactions on software engineering and methodology 32 (4), 1-30, 2023
Zahteve: European Commission, UK Research & Innovation
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
Zahteve: UK Engineering and Physical Sciences Research Council
Fairness testing: A comprehensive survey and analysis of trends
Z Chen, JM Zhang, M Hort, M Harman, F Sarro
ACM Transactions on Software Engineering and Methodology 33 (5), 1-59, 2024
Zahteve: European Commission, Research Council of Norway
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
Zahteve: UK Engineering and Physical Sciences Research Council
Fairea: A model behaviour mutation approach to benchmarking bias mitigation methods
M Hort, JM Zhang, F Sarro, M Harman
Proceedings of the 29th ACM joint meeting on European software engineering …, 2021
Zahteve: European Commission
Customer Rating Reactions Can Be Predicted Purely Using App Features
F Sarro, M Harman, Y Jia, Y Zhang
26th IEEE International Requirements Engineering Conference, 12, 2018
Zahteve: UK Engineering and Physical Sciences Research Council, European Commission
Mutation-Aware Fault Prediction
D Bowes, T Hall, M Harman, Y Jia, F Sarro, F Wu
ACM SIGSOFT International Symposium on Software Testing and Analysis ( ISSTA), 2016
Zahteve: UK Engineering and Physical Sciences Research Council
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
Z Chen, JM Zhang, F Sarro, M Harman
Proceedings of the 30th ACM joint european software engineering conference …, 2022
Zahteve: European Commission, UK Research & Innovation
App store analysis: Mining app stores for relationships between customer, business and technical characteristics
A Finkelstein, M Harman, Y Jia, W Martin, F Sarro, Y Zhang
RN 14 (10), 2014
Zahteve: UK Engineering and Physical Sciences Research Council
Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models
F Ferrucci, P Salza, F Sarro
Evolutionary Computation Journal, 2017
Zahteve: UK Engineering and Physical Sciences Research Council
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, 2017
Zahteve: UK Engineering and Physical Sciences Research Council
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