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ORCIDFederica Sarro
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- 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
- 2025
[j41]Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Shangguang Wang:
Unveiling overlooked performance variance in serverless computing. Empir. Softw. Eng. 30(2): 59 (2025)- 2024
- [j40]Giovani Guizzo
, Jie M. Zhang, Federica Sarro, Christoph Treude, Mark Harman:
Mutation analysis for evaluating code translation. Empir. Softw. Eng. 29(1): 19 (2024) - [j39]Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman:
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software. Empir. Softw. Eng. 29(1): 36 (2024) - [j38]Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro:
Adoption of automated software engineering tools and techniques in Thailand. Empir. Softw. Eng. 29(4): 90 (2024) - [j37]Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti:
Test-based patch clustering for automatically-generated patches assessment. Empir. Softw. Eng. 29(5): 116 (2024) - [j36]Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Indira Vats, Hadi Moazen, Federica Sarro:
A survey on machine learning techniques applied to source code. J. Syst. Softw. 209: 111934 (2024) - [j35]Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro:
Fairness Testing: A Comprehensive Survey and Analysis of Trends. ACM Trans. Softw. Eng. Methodol. 33(5): 137:1-137:59 (2024) - [j34]Giovani Guizzo, David Williams, Mark Harman, Justyna Petke, Federica Sarro:
Speeding Up Genetic Improvement via Regression Test Selection. ACM Trans. Softw. Eng. Methodol. 33(8): 196:1-196:31 (2024) - [j33]Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma:
Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement. ACM Trans. Softw. Eng. Methodol. 33(8): 211:1-211:34 (2024) - [c88]Charalambos Mitropoulos, Maria Kechagia, Chrysostomos Maschas, Sotirios Ioannidis, Federica Sarro, Dimitrios Mitropoulos:
Broken Agreement: The Evolution of Solidity Error Handling. ESEM 2024: 257-268 - [c87]Emeralda Sesari, Federica Sarro, Ayushi Rastogi:
Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites. ESEM 2024: 269-280 - [c86]Mar Zamorano, África Domingo, Carlos Cetina, Federica Sarro:
Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques. ESEM 2024: 302-313 - [c85]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. ESEM 2024: 475-481 - [c84]David Williams, James Callan, Serkan Kirbas, Sergey Mechtaev, Justyna Petke, Thomas Prideaux-Ghee, Federica Sarro:
User-Centric Deployment of Automated Program Repair at Bloomberg. ICSE-SEIP 2024: 81-91 - [c83]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
Fairness Improvement with Multiple Protected Attributes: How Far Are We? ICSE 2024: 160:1-160:13 - [c82]Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma:
TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. MSR 2024: 113-117 - [c81]Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma:
Greenlight: Highlighting TensorFlow APIs Energy Footprint. MSR 2024: 304-308 - [c80]Justyna Petke, Matias Martinez, Maria Kechagia, Aldeida Aleti, Federica Sarro:
The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking. SIGSOFT FSE Companion 2024: 452-456 - [c79]Rebecca Moussa, Danielle Azar, Federica Sarro:
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios. SANER 2024: 535-545 - [c78]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From the Replication of the GPT2SP Study. SANER 2024: 1034-1041 - [i35]Carol Hanna, David Clark, Federica Sarro, Justyna Petke:
Hot Fixing Software: A Comprehensive Review of Terminology, Techniques, and Applications. CoRR abs/2401.09275 (2024) - [i34]Charalambos Mitropoulos, Maria Kechagia, Chrysostomos Maschas, Sotiris Ioannidis, Federica Sarro, Dimitris Mitropoulos:
Charting The Evolution of Solidity Error Handling. CoRR abs/2402.03186 (2024) - [i33]Emeralda Sesari, Federica Sarro, Ayushi Rastogi:
Understanding Fairness in Software Engineering: Insights from Stack Exchange. CoRR abs/2402.19038 (2024) - [i32]Xiaoxue Ma, Huiqi Zou, Jacky Keung, Pinjia He, Yishu Li, Xiao Yu, Federica Sarro:
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations. CoRR abs/2405.03489 (2024) - [i31]Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro:
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. CoRR abs/2407.14982 (2024) - [i30]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. CoRR abs/2409.19028 (2024) - [i29]Emeralda Sesari, Federica Sarro, Ayushi Rastogi:
It is Giving Major Satisfaction: Why Fairness Matters for Developers. CoRR abs/2410.02482 (2024) - [i28]Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Zixi Zhu, Yi Liu, Haodi Ping, Shangguang Wang:
LLM-Based Misconfiguration Detection for AWS Serverless Computing. CoRR abs/2411.00642 (2024) - [i27]Xiaoxue Ma, Yishu Li, Jacky Keung, Xiao Yu, Huiqi Zou, Zhen Yang, Federica Sarro, Earl T. Barr:
Practitioners' Expectations on Log Anomaly Detection. CoRR abs/2412.01066 (2024) - [i26]Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu:
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software. CoRR abs/2412.08167 (2024) - [i25]Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco:
On the Compression of Language Models for Code: An Empirical Study on CodeBERT. CoRR abs/2412.13737 (2024) - 2023
- [j32]Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective search for gender-fair and semantically correct word embeddings. Appl. Soft Comput. 133: 109916 (2023) - [j31]Giovani Guizzo, Francesco Califano, Federica Sarro, Filomena Ferrucci, Mark Harman:
Inferring test models from user bug reports using multi-objective search. Empir. Softw. Eng. 28(4): 95 (2023) - [j30]Tushar Sharma, Stefanos Georgiou, Maria Kechagia, Taher Ahmed Ghaleb, Federica Sarro:
Investigating developers' perception on software testability and its effects. Empir. Softw. Eng. 28(5): 120 (2023) - [j29]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers. ACM Trans. Softw. Eng. Methodol. 32(4): 106:1-106:30 (2023) - [j28]Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From a Replication Study. IEEE Trans. Software Eng. 49(4): 2677-2697 (2023) - [c77]Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23). GECCO Companion 2023: 23-24 - [c76]Rebecca Moussa, Giovani Guizzo, Federica Sarro:
MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23). GECCO Companion 2023: 37-38 - [c75]Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma:
Who Judges the Judge: An Empirical Study on Online Judge Tests. ISSTA 2023: 334-346 - [c74]Tegawendé F. Bissyandé, Jacques Klein, Christian Bird, Federica Sarro:
Message from the Chairs: ASE 2023. ASE 2023: xxxii-xxxv - [c73]Federica Sarro:
Search-Based Software Engineering in the Era of Modern Software Systems. RE 2023: 3-5 - [c72]Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE 2023: 1657-1668 - [c71]Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David A. Kelly, Héctor D. Menéndez, Rebecca Moussa, Federica Sarro:
StableYolo: Optimizing Image Generation for Large Language Models. SSBSE 2023: 133-139 - [c70]Dominik Sobania, Alina Geiger, James Callan, Alexander E. I. Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano López, Justyna Petke, Federica Sarro:
Evaluating Explanations for Software Patches Generated by Large Language Models. SSBSE 2023: 147-152 - [c69]Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania:
Enhancing Genetic Improvement Mutations Using Large Language Models. SSBSE 2023: 153-159 - [c68]Federica Sarro:
Automated Optimisation of Modern Software System Properties. ICPE 2023: 3-4 - [i24]Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu:
Revisiting the Performance of Serverless Computing: An Analysis of Variance. CoRR abs/2305.04309 (2023) - [i23]Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR abs/2305.18084 (2023) - [i22]Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu:
SuperFlow: Performance Testing for Serverless Computing. CoRR abs/2306.01620 (2023) - [i21]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
An Empirical Study on Fairness Improvement with Multiple Protected Attributes. CoRR abs/2308.01923 (2023) - [i20]Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu:
Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems. CoRR abs/2308.02935 (2023) - [i19]Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma:
FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning. CoRR abs/2308.12264 (2023) - [i18]Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania:
Enhancing Genetic Improvement Mutations Using Large Language Models. CoRR abs/2310.19813 (2023) - [i17]Mar Zamorano, Carlos Cetina, Federica Sarro:
The Quest for Content: A Survey of Search-Based Procedural Content Generation for Video Games. CoRR abs/2311.04710 (2023) - [i16]David Williams, James Callan, Serkan Kirbas, Sergey Mechtaev, Justyna Petke, Thomas Prideaux-Ghee, Federica Sarro:
User-Centric Deployment of Automated Program Repair at Bloomberg. CoRR abs/2311.10516 (2023) - 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 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]Filomena Ferrucci, Carmine Gravino, Rocco Oliveto, Federica Sarro, Emilia Mendes:
Investigating Tabu Search for Web Effort Estimation. EUROMICRO-SEAA 2010: 350-357 - [c4]Filomena Ferrucci, Carmine Gravino, Rocco Oliveto, Federica Sarro:
Estimating Software Development Effort using Tabu Search. ICEIS (1) 2010: 236-241 - [c3]Pietro D'Ambrosio, Filomena Ferrucci, Federica Sarro, Maurizio Tucci:
An Approach for the Development of DOOH-oriented Information Systems. ICEIS (3) 2010: 326-331 - [c2]Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro, Emilia Mendes:
How effective is Tabu search to configure support vector regression for effort estimation? PROMISE 2010: 4
2000 – 2009
- 2009
- [c1]Filomena Ferrucci, Carmine Gravino, Rocco Oliveto, Federica Sarro:
Using Tabu Search to Estimate Software Development Effort. IWSM/Mensura 2009: 307-320
Coauthor Index
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