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ORCIDFederica Sarro
Person information
- affiliation: University College London, Department of Computer Science, UK
- affiliation (PhD 2013): University of Salerno, Department of Mathematics and Informatics, Italy
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2020 – today
- 2022
[j27]James Callan
, Oliver Krauss, Justyna Petke, Federica Sarro:
How do Android developers improve non-functional properties of software? Empir. Softw. Eng. 27(5): 113 (2022)- [j26]Giovani Guizzo, Federica Sarro, Jens Krinke, Silvia R. Vergilio:
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies. IEEE Trans. Software Eng. 48(3): 803-818 (2022) - [j25]Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman:
Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates. IEEE Trans. Software Eng. 48(6): 1868-1882 (2022) - [j24]Maria Kechagia, Sergey Mechtaev, Federica Sarro, Mark Harman:
Evaluating Automatic Program Repair Capabilities to Repair API Misuses. IEEE Trans. Software Eng. 48(7): 2658-2679 (2022) - [j23]Max Hort, Maria Kechagia, Federica Sarro, Mark Harman:
A Survey of Performance Optimization for Mobile Applications. IEEE Trans. Software Eng. 48(8): 2879-2904 (2022) - [j22]Vali Tawosi, Federica Sarro, Alessio Petrozziello, Mark Harman:
Multi-Objective Software Effort Estimation: A Replication Study. IEEE Trans. Software Eng. 48(8): 3185-3205 (2022) - [c67]Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction. ESEM 2022: 159-170 - [c66]Vali Tawosi, Rebecca Moussa, Federica Sarro:
On the Relationship Between Story Points and Development Effort in Agile Open-Source Software. ESEM 2022: 183-194 - [c65]Max Hort, Federica Sarro:
Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness. FairWare@ICSE 2022: 17-24 - [c64]James Zhong, Max Hort, Federica Sarro:
Py2Cy: a genetic improvement tool to speed up python. GECCO Companion 2022: 1950-1955 - [c63]Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou:
Green AI: Do Deep Learning Frameworks Have Different Costs? ICSE 2022: 1082-1094 - [c62]Dario Asprone, Jonathan Metzman, Abhishek Arya, Giovani Guizzo, Federica Sarro:
Comparing Fuzzers on a Level Playing Field with FuzzBench. ICST 2022: 302-311 - [c61]Rebecca Moussa, Federica Sarro:
On the use of evaluation measures for defect prediction studies. ISSTA 2022: 101-113 - [c60]Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro:
A Versatile Dataset of Agile Open Source Software Projects. MSR 2022: 707-711 - [c59]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software. ESEC/SIGSOFT FSE 2022: 1122-1134 - [c58]Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro:
Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand. SANER 2022: 218-222 - [c57]Vali Tawosi, Afnan A. Al-Subaihin, Federica Sarro:
Investigating the Effectiveness of Clustering for Story Point Estimation. SANER 2022: 827-838 - [i15]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet? CoRR abs/2201.05401 (2022) - [i14]Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro:
A Versatile Dataset of Agile Open Source Software Projects. CoRR abs/2202.00979 (2022) - [i13]Rebecca Moussa, Danielle Azar, Federica Sarro:
Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction. CoRR abs/2202.12074 (2022) - [i12]Rebecca Moussa, Federica Sarro:
Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation. CoRR abs/2207.01705 (2022) - [i11]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness. CoRR abs/2207.03277 (2022) - [i10]Max Hort, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. CoRR abs/2207.07068 (2022) - [i9]Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman:
Fairness Testing: A Comprehensive Survey and Analysis of Trends. CoRR abs/2207.10223 (2022) - [i8]Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti:
Test-based Patch Clustering for Automatically-Generated Patches Assessment. CoRR abs/2207.11082 (2022) - [i7]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Second Replication Study (GPT2SP Replication Report). CoRR abs/2209.00437 (2022) - [i6]Minghua Ma, Zhao Tian, Max Hort, Federica Sarro, Hongyu Zhang, Qingwei Lin, Dongmei Zhang:
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances. CoRR abs/2209.08321 (2022) - 2021
- [j21]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021) - [j20]Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark:
Diversifying Focused Testing for Unit Testing. ACM Trans. Softw. Eng. Methodol. 30(4): 44:1-44:24 (2021) - [j19]Afnan A. Al-Subaihin, Federica Sarro, Sue Black, Licia Capra, Mark Harman:
App Store Effects on Software Engineering Practices. IEEE Trans. Software Eng. 47(2): 300-319 (2021) - [j18]Carlos Gavidia-Calderon, Federica Sarro, Mark Harman, Earl T. Barr:
The Assessor's Dilemma: Improving Bug Repair via Empirical Game Theory. IEEE Trans. Software Eng. 47(10): 2143-2161 (2021) - [c56]Max Hort, Federica Sarro:
The effect of offspring population size on NSGA-II: a preliminary study. GECCO Companion 2021: 179-180 - [c55]Giovani Guizzo, Justyna Petke, Federica Sarro, Mark Harman:
Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection. ICSE (Companion Volume) 2021: 220 - [c54]Giovani Guizzo, Justyna Petke, Federica Sarro, Mark Harman:
Enhancing Genetic Improvement of Software with Regression Test Selection. ICSE 2021: 1323-1333 - [c53]Robert White, Jens Krinke, Earl T. Barr, Federica Sarro, Chaiyong Ragkhitwetsagul:
Artefact Relation Graphs for Unit Test Reuse Recommendation. ICST 2021: 137-147 - [c52]Max Hort, Federica Sarro:
Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination. ASE 2021: 1322-1326 - [c51]Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman:
Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods. ESEC/SIGSOFT FSE 2021: 994-1006 - [c50]Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro:
Refining Fitness Functions for Search-Based Automated Program Repair - A Case Study with ARJA and ARJA-e. SSBSE 2021: 159-165 - [i5]Giovani Guizzo, Federica Sarro, Jens Krinke, Silvia Regina Vergilio:
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies. CoRR abs/2103.07241 (2021) - [i4]Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Federica Sarro:
A Survey on Machine Learning Techniques for Source Code Analysis. CoRR abs/2110.09610 (2021) - 2020
- [j17]Giuliano Antoniol, Federica Sarro:
Guest editorial: Special section on Search-based Software Engineering track at GECCO 2018. Inf. Softw. Technol. 118 (2020) - [j16]Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Assessing the effectiveness of approximate functional sizing approaches for effort estimation. Inf. Softw. Technol. 123: 106308 (2020) - [j15]Carlos Gavidia-Calderon, Federica Sarro, Mark Harman, Earl T. Barr:
Game-theoretic analysis of development practices: Challenges and opportunities. J. Syst. Softw. 159 (2020) - [c49]Max Hort, Federica Sarro:
Optimising word embeddings with search-based approaches. GECCO Companion 2020: 269-270 - [c48]Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo:
A new approach to distribute MOEA pareto front computation. GECCO Companion 2020: 315-316 - [c47]Giovani Guizzo, Federica Sarro, Mark Harman:
Cost measures matter for mutation testing study validity. ESEC/SIGSOFT FSE 2020: 1127-1139 - [c46]Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic:
FrUITeR: a framework for evaluating UI test reuse. ESEC/SIGSOFT FSE 2020: 1190-1201 - [c45]Afnan A. Al-Subaihin, Federica Sarro:
Exploring the Use of Genetic Algorithm Clustering for Mobile App Categorisation. SSBSE 2020: 181-187 - [e7]Maria Teresa Baldassarre, Filippo Lanubile, Marcos Kalinowski, Federica Sarro:
ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 5-7, 2020. ACM 2020, ISBN 978-1-4503-7580-1 [contents] - [i3]Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic:
FrUITeR - A Framework for Evaluating UI Test Reuse. CoRR abs/2008.03427 (2020) - [i2]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience. CoRR abs/2010.16063 (2020)
2010 – 2019
- 2019
- [j14]Afnan A. Al-Subaihin, Federica Sarro, Sue Black, Licia Capra:
Empirical comparison of text-based mobile apps similarity measurement techniques. Empir. Softw. Eng. 24(6): 3290-3315 (2019) - [c44]Nadia Alshahwan, Andrea Ciancone, Mark Harman, Yue Jia, Ke Mao, Alexandru Marginean, Alexander Mols, Hila Peleg, Federica Sarro, Ilya Zorin:
Some challenges for software testing research (invited talk paper). ISSTA 2019: 1-3 - [c43]Matthieu Jimenez, Renaud Rwemalika, Mike Papadakis, Federica Sarro, Yves Le Traon, Mark Harman:
The importance of accounting for real-world labelling when predicting software vulnerabilities. ESEC/SIGSOFT FSE 2019: 695-705 - [c42]Federica Sarro:
Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone? SSBSE 2019: 3-7 - [e6]Yann-Gaël Guéhéneuc, Foutse Khomh, Federica Sarro:
Proceedings of the 27th International Conference on Program Comprehension, ICPC 2019, Montreal, QC, Canada, May 25-31, 2019. IEEE / ACM 2019, ISBN 978-1-7281-1519-1 [contents] - [e5]Federica Sarro, Maleknaz Nayebi:
Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, WAMA@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 27, 2019. ACM 2019, ISBN 978-1-4503-6858-2 [contents] - 2018
- [j13]Filomena Ferrucci, Pasquale Salza, Federica Sarro:
Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models. Evol. Comput. 26(4) (2018) - [j12]Federica Sarro, Kalyanmoy Deb, Marouane Kessentini:
Guest Editorial for the 8th Symposium on Search Based Software Engineering Special Section. Inf. Softw. Technol. 95: 265 (2018) - [j11]Silvia Abrahão, Lucia De Marco, Filomena Ferrucci, Jaime Gómez, Carmine Gravino, Federica Sarro:
Definition and evaluation of a COSMIC measurement procedure for sizing Web applications in a model-driven development environment. Inf. Softw. Technol. 104: 144-161 (2018) - [j10]Federica Sarro, Marouane Kessentini, Kalyanmoy Deb:
Guest Editorial Special Issue on Search-Based Software Engineering. IEEE Trans. Evol. Comput. 22(3): 333 (2018) - [j9]Federica Sarro, Alessio Petrozziello:
Linear Programming as a Baseline for Software Effort Estimation. ACM Trans. Softw. Eng. Methodol. 27(3): 12:1-12:28 (2018) - [c41]Federica Sarro:
Predictive analytics for software testing: keynote paper. SBST@ICSE 2018: 1 - [c40]Cuiyun Gao, Jichuan Zeng, Federica Sarro, Michael R. Lyu, Irwin King:
Exploring the effects of ad schemes on the performance cost of mobile phones. A-Mobile@ASE 2018: 13-18 - [c39]Federica Sarro, Mark Harman, Yue Jia, Yuanyuan Zhang:
Customer Rating Reactions Can Be Predicted Purely using App Features. RE 2018: 76-87 - 2017
- [j8]Anthony Finkelstein, Mark Harman, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang:
Investigating the relationship between price, rating, and popularity in the Blackberry World App Store. Inf. Softw. Technol. 87: 119-139 (2017) - [j7]Jianglin Huang, Jacky Wai Keung, Federica Sarro, Yan-Fu Li, Yuen-Tak Yu, W. K. Chan, Hongyi Sun:
Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study. J. Syst. Softw. 132: 226-252 (2017) - [j6]William J. Martin, Federica Sarro, Yue Jia, Yuanyuan Zhang, Mark Harman:
A Survey of App Store Analysis for Software Engineering. IEEE Trans. Software Eng. 43(9): 817-847 (2017) - [j5]Federica Sarro, Filomena Ferrucci, Mark Harman, Alessandra Manna, Jian Ren:
Adaptive Multi-Objective Evolutionary Algorithms for Overtime Planning in Software Projects. IEEE Trans. Software Eng. 43(10): 898-917 (2017) - [e4]Michael Felderer, Daniel Méndez Fernández, Burak Turhan, Marcos Kalinowski, Federica Sarro, Dietmar Winkler:
Product-Focused Software Process Improvement - 18th International Conference, PROFES 2017, Innsbruck, Austria, November 29 - December 1, 2017, Proceedings. Lecture Notes in Computer Science 10611, Springer 2017, ISBN 978-3-319-69925-7 [contents] - [e3]Federica Sarro, Emad Shihab, Meiyappan Nagappan, Marie Christin Platenius, Daniel Kaimann:
Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, WAMA@ESEC/SIGSOFT FSE 2017, Paderborn, Germany, September 5, 2017. ACM 2017, ISBN 978-1-4503-5158-4 [contents] - 2016
- [j4]José Javier Dolado, Daniel Rodríguez, Mark Harman, William B. Langdon, Federica Sarro:
Evaluation of estimation models using the Minimum Interval of Equivalence. Appl. Soft Comput. 49: 956-967 (2016) - [j3]Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Web Effort Estimation: Function Point Analysis vs. COSMIC. Inf. Softw. Technol. 72: 90-109 (2016) - [j2]William B. Langdon, José Javier Dolado, Federica Sarro, Mark Harman:
Exact Mean Absolute Error of Baseline Predictor, MARP0. Inf. Softw. Technol. 73: 16-18 (2016) - [c38]Afnan A. Al-Subaihin, Federica Sarro, Sue Black, Licia Capra, Mark Harman, Yue Jia, Yuanyuan Zhang:
Clustering Mobile Apps Based on Mined Textual Features. ESEM 2016: 38:1-38:10 - [c37]Pasquale Salza, Filomena Ferrucci, Federica Sarro:
Develop, Deploy and Execute Parallel Genetic Algorithms in the Cloud. GECCO (Companion) 2016: 121-122 - [c36]Pasquale Salza, Filomena Ferrucci, Federica Sarro:
elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce. GECCO (Companion) 2016: 1315-1322 - [c35]Mark Harman, Afnan A. Al-Subaihin, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang:
Mobile app and app store analysis, testing and optimisation. MOBILESoft 2016: 243-244 - [c34]Federica Sarro, Alessio Petrozziello, Mark Harman:
Multi-objective software effort estimation. ICSE 2016: 619-630 - [c33]David Bowes, Tracy Hall, Mark Harman, Yue Jia, Federica Sarro, Fan Wu:
Mutation-aware fault prediction. ISSTA 2016: 330-341 - [c32]William J. Martin, Federica Sarro, Mark Harman:
Causal impact analysis for app releases in google play. SIGSOFT FSE 2016: 435-446 - [e2]Meiyappan Nagappan, Federica Sarro, Emad Shihab:
Proceedings of the International Workshop on App Market Analytics, WAMA@SIGSOFT FSE, Seattle, WA, USA, November 14, 2016. ACM 2016, ISBN 978-1-4503-4398-5 [contents] - [e1]Federica Sarro, Kalyanmoy Deb:
Search Based Software Engineering - 8th International Symposium, SSBSE 2016, Raleigh, NC, USA, October 8-10, 2016, Proceedings. Lecture Notes in Computer Science 9962, 2016, ISBN 978-3-319-47105-1 [contents] - 2015
- [c31]Leandro L. Minku, Federica Sarro, Emilia Mendes, Filomena Ferrucci:
How to Make Best Use of Cross-Company Data for Web Effort Estimation? ESEM 2015: 172-181 - [c30]Filomena Ferrucci, Carmine Gravino, Pasquale Salza, Federica Sarro:
Investigating Functional and Code Size Measures for Mobile Applications. EUROMICRO-SEAA 2015: 365-368 - [c29]William J. Martin, Mark Harman, Yue Jia, Federica Sarro, Yuanyuan Zhang:
The App Sampling Problem for App Store Mining. MSR 2015: 123-133 - [c28]Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro:
From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation. PROFES 2015: 251-267 - [c27]Filomena Ferrucci, Carmine Gravino, Pasquale Salza, Federica Sarro:
Investigating Functional and Code Size Measures for Mobile Applications: A Replicated Study. PROFES 2015: 271-287 - [c26]Federica Sarro, Afnan A. Al-Subaihin, Mark Harman, Yue Jia, William J. Martin, Yuanyuan Zhang:
Feature lifecycles as they spread, migrate, remain, and die in App Stores. RE 2015: 76-85 - [c25]Filomena Ferrucci, Pasquale Salza, M. Tahar Kechadi, Federica Sarro:
A parallel genetic algorithms framework based on Hadoop MapReduce. SAC 2015: 1664-1667 - [c24]Afnan A. Al-Subaihin, Anthony Finkelstein, Mark Harman, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang:
App store mining and analysis. DeMobile@SIGSOFT FSE 2015: 1-2 - [c23]Yuanyuan Zhang, Mark Harman, Yue Jia, Federica Sarro:
Inferring Test Models from Kate's Bug Reports Using Multi-objective Search. SSBSE 2015: 301-307 - 2014
- [c22]Emilia Mendes, Marcos Kalinowski, Daves Martins, Filomena Ferrucci, Federica Sarro:
Cross- vs. within-company cost estimation studies revisited: an extended systematic review. EASE 2014: 12:1-12:10 - [c21]Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Conversion from IFPUG FPA to COSMIC: Within-vs Without-Company Equations. EUROMICRO-SEAA 2014: 293-300 - [c20]Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Exploiting prior-phase effort data to estimate the effort for the subsequent phases: a further assessment. PROMISE 2014: 42-51 - [c19]Earl T. Barr, Yuriy Brun, Premkumar T. Devanbu, Mark Harman, Federica Sarro:
The plastic surgery hypothesis. SIGSOFT FSE 2014: 306-317 - [c18]Mark Harman, Syed S. Islam, Yue Jia, Leandro L. Minku, Federica Sarro, Komsan Srivisut:
Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases. SSBSE 2014: 240-246 - [p1]Filomena Ferrucci, Mark Harman, Federica Sarro:
Search-Based Software Project Management. Software Project Management in a Changing World 2014: 373-399 - 2013
- [j1]Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro, Emilia Mendes:
Using tabu search to configure support vector regression for effort estimation. Empir. Softw. Eng. 18(3): 506-546 (2013) - [c17]Filomena Ferrucci, Mark Harman, Jian Ren, Federica Sarro:
Not going to take this anymore: multi-objective overtime planning for software engineering projects. ICSE 2013: 462-471 - [i1]Filomena Ferrucci, M. Tahar Kechadi, Pasquale Salza, Federica Sarro:
A Framework for Genetic Algorithms Based on Hadoop. CoRR abs/1312.0086 (2013) - 2012
- [c16]Lucia De Marco, Filomena Ferrucci, Carmine Gravino, Federica Sarro, Silvia Mara Abrahão, Jaime Gómez:
Functional versus design measures for model-driven web applications: a case study in the context of web effort estimation. WETSoM 2012: 21-27 - [c15]Linda Di Geronimo, Filomena Ferrucci, Alfonso Murolo, Federica Sarro:
A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites. ICST 2012: 785-793 - [c14]Filomena Ferrucci, Emilia Mendes, Federica Sarro:
Web effort estimation: the value of cross-company data set compared to single-company data set. PROMISE 2012: 29-38 - [c13]Federica Sarro, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino:
A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction. SAC 2012: 1215-1220 - [c12]Federica Sarro, Filomena Ferrucci, Carmine Gravino:
Single and Multi Objective Genetic Programming for software development effort estimation. SAC 2012: 1221-1226 - 2011
- [c11]Sergio Di Martino, Raffaele Galiero, Clemente Giorio, Filomena Ferrucci, Federica Sarro:
A Matching-Algorithm based on the Cloud and Positioning Systems to Improve Carpooling. DMS 2011: 90-95 - [c10]Filomena Ferrucci, Carmine Gravino, Federica Sarro:
A Case Study on the Conversion of Function Points into COSMIC. EUROMICRO-SEAA 2011: 461-464 - [c9]Federica Sarro:
Search-based approaches for software development effort estimation. PROFES Workshops 2011: 38-43 - [c8]Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Using Web Objects for Development Effort Estimation of Web Applications: A Replicated Study. PROFES 2011: 186-201 - [c7]Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro:
A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components. PROFES 2011: 247-261 - [c6]Filomena Ferrucci, Carmine Gravino, Federica Sarro:
How Multi-Objective Genetic Programming Is Effective for Software Development Effort Estimation? SSBSE 2011: 274-275 - 2010
- [c5]