| 2026 | ICSE | FairRF: Multi-Objective Search for Single and Intersectional Software Fairness. | Giordano d'Aloisio, Max Hort, Rebecca Moussa, Federica Sarro |
| 2026 | ICSE | Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection. | David Williams, Maria Kechagia, Max Hort, Aldeida Aleti, Justyna Petke, Federica Sarro |
| 2026 | MSR | Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance. | Giovanni Pinna, Jingzhi Gong, David Williams, Federica Sarro |
| 2026 | SSBSE | SafeTune: Search-based Harmfulness Minimisation for Large Language Models. | Giordano d'Aloisio, David Williams, Giusy Annunziata, Zhiwei Fei, Antinisca Di Marco, Federica Sarro |
| 2025 | EvoMUSART | Search-Based Negative Prompt Optimisation for Text-to-Image Generation. | Guillermo Iglesias, Mar Zamorano, Federica Sarro |
| 2025 | ICSE | Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software. | Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu |
| 2025 | SANER | On the Compression of Language Models for Code: An Empirical Study on CodeBERT. | Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco |
| 2025 | SANER | How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias. | Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco, Federica Sarro |
| 2025 | SSBSE | HotCat: Green and Effective Feature Selection toward Hotfix Bug Taxonomy. | Luis De La Cal, Yazhuo Cao, Ayse Irmak Ercevik, Giovanni Pinna, Lukas Twist, David Williams, Karine Even-Mendoza, William B. Langdon, Hctor D. Menndez, Federica Sarro |
| 2025 | SSBSE | GA4GC: Greener Agent for Greener Code via Multi-objective Configuration Optimization. | Jingzhi Gong, Yixin Bian, Luis De La Cal, Giovanni Pinna, Anisha Uteem, David Williams, Mar Zamorano, Karine Even-Mendoza, William B. Langdon, Hctor D. Menndez, Federica Sarro |
| 2024 | ESEM | Exploring LLM-Driven Explanations for Quantum Algorithms. | Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eaut Mendiluze Usandizaga, Federica Sarro |
| 2024 | ESEM | Broken Agreement: The Evolution of Solidity Error Handling. | Charalambos Mitropoulos, Maria Kechagia, Chrysostomos Maschas, Sotirios Ioannidis, Federica Sarro, Dimitrios Mitropoulos |
| 2024 | ESEM | Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites. | Emeralda Sesari, Federica Sarro, Ayushi Rastogi |
| 2024 | ESEM | Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques. | Mar Zamorano, frica Domingo, Carlos Cetina, Federica Sarro |
| 2024 | ICSE | Fairness Improvement with Multiple Protected Attributes: How Far Are We? | Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman |
| 2024 | ICSE | User-Centric Deployment of Automated Program Repair at Bloomberg. | David Williams, James Callan, Serkan Kirbas, Sergey Mechtaev, Justyna Petke, Thomas Prideaux-Ghee, Federica Sarro |
| 2024 | MSR | TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. | Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma |
| 2024 | MSR | Greenlight: Highlighting TensorFlow APIs Energy Footprint. | Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma |
| 2024 | SSBSE | GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. | Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro |
| 2023 | GECCO | Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23). | Max Hort, Rebecca Moussa, Federica Sarro |
| 2023 | GECCO | MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23). | Rebecca Moussa, Giovani Guizzo, Federica Sarro |
| 2023 | ISSTA | Who Judges the Judge: An Empirical Study on Online Judge Tests. | Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma |
| 2023 | RE | Search-Based Software Engineering in the Era of Modern Software Systems. | Federica Sarro |
| 2023 | SSBSE | StableYolo: Optimizing Image Generation for Large Language Models. | Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David A. Kelly, Hctor D. Menndez, Rebecca Moussa, Federica Sarro |
| 2023 | SSBSE | Enhancing Genetic Improvement Mutations Using Large Language Models. | Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania |
| 2023 | SSBSE | Evaluating Explanations for Software Patches Generated by Large Language Models. | Dominik Sobania, Alina Geiger, James Callan, Alexander E. I. Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano Lpez, Justyna Petke, Federica Sarro |
| 2022 | ESEM | MEG: Multi-objective Ensemble Generation for Software Defect Prediction. | Rebecca Moussa, Giovani Guizzo, Federica Sarro |
| 2022 | ESEM | On the Relationship Between Story Points and Development Effort in Agile Open-Source Software. | Vali Tawosi, Rebecca Moussa, Federica Sarro |
| 2022 | GECCO | Py2Cy: a genetic improvement tool to speed up python. | James Zhong, Max Hort, Federica Sarro |
| 2022 | ICSE | Green AI: Do Deep Learning Frameworks Have Different Costs? | Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou |
| 2022 | ICST | Comparing Fuzzers on a Level Playing Field with FuzzBench. | Dario Asprone, Jonathan Metzman, Abhishek Arya, Giovani Guizzo, Federica Sarro |
| 2022 | ISSTA | On the use of evaluation measures for defect prediction studies. | Rebecca Moussa, Federica Sarro |
| 2022 | MSR | A Versatile Dataset of Agile Open Source Software Projects. | Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro |
| 2021 | GECCO | The effect of offspring population size on NSGA-II: a preliminary study. | Max Hort, Federica Sarro |
| 2021 | ICSE | Enhancing Genetic Improvement of Software with Regression Test Selection. | Giovani Guizzo, Justyna Petke, Federica Sarro, Mark Harman |
| 2021 | ICSE | Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection. | Giovani Guizzo, Justyna Petke, Federica Sarro, Mark Harman |
| 2021 | ICST | Artefact Relation Graphs for Unit Test Reuse Recommendation. | Robert White, Jens Krinke, Earl T. Barr, Federica Sarro, Chaiyong Ragkhitwetsagul |
| 2021 | SSBSE | Refining Fitness Functions for Search-Based Automated Program Repair - A Case Study with ARJA and ARJA-e. | Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro |
| 2020 | GECCO | Optimising word embeddings with search-based approaches. | Max Hort, Federica Sarro |
| 2020 | GECCO | A new approach to distribute MOEA pareto front computation. | Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo |
| 2020 | SSBSE | Exploring the Use of Genetic Algorithm Clustering for Mobile App Categorisation. | Afnan A. Al-Subaihin, Federica Sarro |
| 2019 | ISSTA | Some challenges for software testing research (invited talk paper). | Nadia Alshahwan, Andrea Ciancone, Mark Harman, Yue Jia, Ke Mao, Alexandru Marginean, Alexander Mols, Hila Peleg, Federica Sarro, Ilya Zorin |
| 2019 | SSBSE | Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone? | Federica Sarro |
| 2018 | ICSE | Predictive analytics for software testing: keynote paper. | Federica Sarro |
| 2018 | RE | Customer Rating Reactions Can Be Predicted Purely using App Features. | Federica Sarro, Mark Harman, Yue Jia, Yuanyuan Zhang |
| 2016 | ESEM | Clustering Mobile Apps Based on Mined Textual Features. | Afnan A. Al-Subaihin, Federica Sarro, Sue Black, Licia Capra, Mark Harman, Yue Jia, Yuanyuan Zhang |
| 2016 | GECCO | Develop, Deploy and Execute Parallel Genetic Algorithms in the Cloud. | Pasquale Salza, Filomena Ferrucci, Federica Sarro |
| 2016 | GECCO | elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce. | Pasquale Salza, Filomena Ferrucci, Federica Sarro |
| 2016 | ICSE | Mobile app and app store analysis, testing and optimisation. | Mark Harman, Afnan A. Al-Subaihin, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang |
| 2016 | ICSE | Multi-objective software effort estimation. | Federica Sarro, Alessio Petrozziello, Mark Harman |
| 2016 | ISSTA | Mutation-aware fault prediction. | David Bowes, Tracy Hall, Mark Harman, Yue Jia, Federica Sarro, Fan Wu |
| 2015 | ESEM | How to Make Best Use of Cross-Company Data for Web Effort Estimation? | Leandro L. Minku, Federica Sarro, Emilia Mendes, Filomena Ferrucci |
| 2015 | MSR | The App Sampling Problem for App Store Mining. | William J. Martin, Mark Harman, Yue Jia, Federica Sarro, Yuanyuan Zhang |
| 2015 | PROFES | From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation. | Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro |
| 2015 | PROFES | Investigating Functional and Code Size Measures for Mobile Applications: A Replicated Study. | Filomena Ferrucci, Carmine Gravino, Pasquale Salza, Federica Sarro |
| 2015 | RE | Feature lifecycles as they spread, migrate, remain, and die in App Stores. | Federica Sarro, Afnan A. Al-Subaihin, Mark Harman, Yue Jia, William J. Martin, Yuanyuan Zhang |
| 2015 | SAC | A parallel genetic algorithms framework based on Hadoop MapReduce. | Filomena Ferrucci, Pasquale Salza, M. Tahar Kechadi, Federica Sarro |
| 2015 | SSBSE | Inferring Test Models from Kate's Bug Reports Using Multi-objective Search. | Yuanyuan Zhang, Mark Harman, Yue Jia, Federica Sarro |
| 2014 | EASE | Cross- vs. within-company cost estimation studies revisited: an extended systematic review. | Emilia Mendes, Marcos Kalinowski, Daves Martins, Filomena Ferrucci, Federica Sarro |
| 2014 | SSBSE | Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases. | Mark Harman, Syed S. Islam, Yue Jia, Leandro L. Minku, Federica Sarro, Komsan Srivisut |
| 2013 | ICSE | Not going to take this anymore: multi-objective overtime planning for software engineering projects. | Filomena Ferrucci, Mark Harman, Jian Ren, Federica Sarro |
| 2012 | ICSE | Functional versus design measures for model-driven web applications: a case study in the context of web effort estimation. | Lucia De Marco, Filomena Ferrucci, Carmine Gravino, Federica Sarro, Silvia Abraho, Jaime Gmez |
| 2012 | ICST | A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites. | Linda Di Geronimo, Filomena Ferrucci, Alfonso Murolo, Federica Sarro |
| 2012 | SAC | Single and Multi Objective Genetic Programming for software development effort estimation. | Federica Sarro, Filomena Ferrucci, Carmine Gravino |
| 2012 | SAC | A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction. | Federica Sarro, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino |
| 2011 | PROFES | Using Web Objects for Development Effort Estimation of Web Applications: A Replicated Study. | Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro |
| 2011 | PROFES | A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components. | Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro |
| 2011 | PROFES | Search-based approaches for software development effort estimation. | Federica Sarro |
| 2011 | SSBSE | How Multi-Objective Genetic Programming Is Effective for Software Development Effort Estimation? | Filomena Ferrucci, Carmine Gravino, Federica Sarro |