Evolving Program Improvement Collaborators

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Diversifying Focused Testing for Unit Testing

Autori: Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 30, 2023, Pagina/e 1-24, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3447265

Evaluating Automatic Program Repair Capabilities to Repair API Misuses

Autori: Maria Kechagia, S. Mechtaev, F. Sarro, M. Harman
Pubblicato in: IEEE Transactions on Software Engineering, 2021, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2021.3067156

Inferring test models from user bug reports using multi-objective search

Autori: Giovani Guizzo, Francesco Califano, Federica Sarro, Filomena Ferrucci, Mark Harman
Pubblicato in: Empirical Software Engineering, Numero 28, 2023, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-023-10333-8

The Symposium on Search-Based Software Engineering: Past, Present and Future

Autori: Thelma Elita Colanzi, Wesley K. G. Assunção. Silvia R. Vergilio, Paulo Roberto Farah, Giovani Guizzo
Pubblicato in: Information and Software Technology, 2020, ISSN 0950-5849
Editore: Elsevier BV
DOI: 10.1016/j.infsof.2020.106372

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

Autori: Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 32, 2023, Pagina/e 1-30, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3583561

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

Autori: Giovani Guizzo, Federica Sarro, Jens Krinke, Silvia Regina Vergilio
Pubblicato in: IEEE Transactions on Software Engineering, 2020, Pagina/e 1-1, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2020.3002496

<i>Adonis</i> : Practical and Efficient Control Flow Recovery through OS-level Traces

Autori: Xuanzhe Liu, Chengxu Yang, Ding Li, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2023, Pagina/e 1-27, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3607187

A Survey of Performance Optimization for Mobile Applications

Autori: Max Hort, Maria Kechagia, Federica Sarro, and Mark Harman
Pubblicato in: IEEE Transactions on Software Engineering, 2021, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2021.3071193

FLASH: Heterogeneity-Aware Federated Learning at Scale

Autori: Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 23, 2023, Pagina/e 483-500, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmc.2022.3214234

Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software

Autori: Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman
Pubblicato in: Empirical Software Engineering, Numero 29, 2024, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-023-10419-3

Machine Learning Testing: Survey, Landscapes and Horizons

Autori: Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu
Pubblicato in: IEEE Transactions on Software Engineering, 2019, Pagina/e 1-1, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2019.2962027

Multi-objective Software Effort Estimation: A Replication Study

Autori: V. Tawosi, F. Sarro, A. Petrozziello, M. Harman
Pubblicato in: IEEE Transactions on Software Engineering, 2021, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2021.3083360

Test-based patch clustering for automatically-generated patches assessment

Autori: Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti
Pubblicato in: Empirical Software Engineering, Numero 29, 2024, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-024-10503-2

Diversifying Focused Testing for Unit Testing

Autori: Menendez, H; Jahangirova, G; Sarro, F; Tonella, P; Clark, D
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero Volume 30Numero 4October 2021 Article No.:, 2021, Pagina/e 44pp 1–24, ISSN 1557-7317
Editore: Association for Computing Machinery
DOI: 10.1145/3461694

A Study of Bug Resolution Characteristics in Popular Programming Languages

Autori: Jie Zhang, Feng Li, Dan Hao, Meng Wang, Hao Tang, Lu Zhang, Mark Harman
Pubblicato in: IEEE Transactions on Software Engineering, 2019, Pagina/e 1-1, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2019.2961897

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Autori: Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2024, Pagina/e 1-59, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3652155

Agile Effort Estimation: Have We Solved the Problem Yet? Insights From a Replication Study

Autori: Vali Tawosi, Rebecca Moussa, Federica Sarro
Pubblicato in: IEEE Transactions on Software Engineering, Numero 49, 2024, Pagina/e 2677-2697, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2022.3228739

Speeding Up Genetic Improvement via Regression Test Selection

Autori: Giovani Guizzo, David Williams, Mark Harman, Justyna Petke, Federica Sarro
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2024, Pagina/e 1-31, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3680466

Rise of the Planet of Serverless Computing: A Systematic Review

Autori: Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 32, 2023, Pagina/e 1-61, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3579643

A survey on machine learning techniques applied to source code

Autori: Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Indira Vats, Hadi Moazen, Federica Sarro
Pubblicato in: Journal of Systems and Software, Numero 209, 2024, Pagina/e 111934, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2023.111934

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Autori: Max Hort, Zhenpeng Chen, Jie M. Zhang, Mark Harman, Federica Sarro
Pubblicato in: ACM Journal on Responsible Computing, Numero 1, 2024, Pagina/e 1-52, ISSN 2832-0565
Editore: ACM
DOI: 10.1145/3631326

Mutation analysis for evaluating code translation

Autori: Giovani Guizzo, Jie M. Zhang, Federica Sarro, Christoph Treude, Mark Harman
Pubblicato in: Empirical Software Engineering, Numero 29, 2024, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-023-10385-w

Multi-objective search for gender-fair and semantically correct word embeddings

Autori: Max Hort, Rebecca Moussa, Federica Sarro
Pubblicato in: Applied Soft Computing, Numero 133, 2024, Pagina/e 109916, ISSN 1568-4946
Editore: Elsevier BV
DOI: 10.1016/j.asoc.2022.109916

An Empirical Study of Cohesion and Coupling: Balancing Optimization and Disruption

Autori: Matheus Paixao, Mark Harman, Yuanyuan Zhang, Yijun Yu
Pubblicato in: IEEE Transactions on Evolutionary Computation, Numero 22/3, 2018, Pagina/e 394-414, ISSN 1089-778X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tevc.2017.2691281

Genetic Improvement of Software: A Comprehensive Survey

Autori: Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David R. White, John R. Woodward
Pubblicato in: IEEE Transactions on Evolutionary Computation, Numero 22/3, 2018, Pagina/e 415-432, ISSN 1089-778X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tevc.2017.2693219

An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning

Autori: Yuanyuan Zhang, Mark Harman, Gabriela Ochoa, Guenther Ruhe, Sjaak Brinkkemper
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 27/1, 2018, Pagina/e 1-32, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3196831

Specialising Software for Different Downstream Applications Using Genetic Improvement and Code Transplantation

Autori: Justyna Petke, Mark Harman, William B. Langdon, Westley Weimer
Pubblicato in: IEEE Transactions on Software Engineering, Numero 44/6, 2018, Pagina/e 574-594, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2017.2702606

Detecting Trivial Mutant Equivalences via Compiler Optimisations

Autori: Marinos Kintis, Mike Papadakis, Yue Jia, Nicos Malevris, Yves Le Traon, Mark Harman
Pubblicato in: IEEE Transactions on Software Engineering, Numero 44/4, 2018, Pagina/e 308-333, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2017.2684805

App Store Effects on Software Engineering Practices

Autori: Afnan AlSubaihin, Federica Sarro, Sue Black, Licia Capra, Mark Harman
Pubblicato in: IEEE Transactions on Software Engineering, 2019, Pagina/e 1-1, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2019.2891715

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective

Autori: Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 32, 2023, Pagina/e 1-26, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3597204

Investigating developers’ perception on software testability and its effects

Autori: Tushar Sharma, Stefanos Georgiou, Maria Kechagia, Taher A. Ghaleb, Federica Sarro
Pubblicato in: Empirical Software Engineering, Numero 28, 2023, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-023-10373-0

<i>FaaSLight</i> : General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing

Autori: Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 32, 2023, Pagina/e 1-29, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3585007

How do Android developers improve non-functional properties of software?

Autori: James Callan, Oliver Krauss, Justyna Petke, Federica Sarro
Pubblicato in: Empirical Software Engineering, Numero 27, 2022, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10664-022-10137-2

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

Autori: Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2024, Pagina/e 1-34, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3680470

Model validation using mutated training labels: An exploratory study

Autori: Jie M. Zhang, Mark Harman, Benjamin Guedj, Earl T. Barr, John Shawe-Taylor
Pubblicato in: Neurocomputing, Numero 539, 2024, Pagina/e 126116, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2023.02.042

Characterizing and Detecting WebAssembly Runtime Bugs

Autori: Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2023, Pagina/e 1-29, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3624743

Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates

Autori: F. Sarro, R. Moussa, A. Petrozziello, Mark Harman
Pubblicato in: IEEE Transactions on Software Engineering, 2020, ISSN 0098-5589
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2020.3040793

Py2Cy

Autori: James Zhong, Max Hort, Federica Sarro
Pubblicato in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023, Pagina/e 1950-1955
Editore: ACM
DOI: 10.1145/3520304.3534037

MEG: Multi-objective Ensemble Generation for Software Defect Prediction

Autori: Rebecca Moussa, Giovani Guizzo, Federica Sarro
Pubblicato in: Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2023, Pagina/e 159-170
Editore: ACM
DOI: 10.1145/3544902.3546255

On the Relationship Between Story Points and Development Effort in Agile Open-Source Software

Autori: Vali Tawosi, Rebecca Moussa, Federica Sarro
Pubblicato in: Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2023, Pagina/e 183-194
Editore: ACM
DOI: 10.1145/3544902.3546238

Greenlight: Highlighting TensorFlow APIs Energy Footprint

Autori: Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma
Pubblicato in: Proceedings of the 21st International Conference on Mining Software Repositories, 2024, Pagina/e 304-308
Editore: ACM
DOI: 10.1145/3643991.3644894

An Empirical Study on the Fairness of Pre-trained Word Embeddings

Autori: Emeralda Sesari, Max Hort, Federica Sarro
Pubblicato in: Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP), 2022, Pagina/e 129-144
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.gebnlp-1.15

FrUITeR: a framework for evaluating UI test reuse

Autori: Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic
Pubblicato in: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020, Pagina/e 1190-1201, ISBN 9781450370431
Editore: ACM
DOI: 10.1145/3368089.3409708

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software

Autori: Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
Pubblicato in: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Editore: ACM
DOI: 10.1145/3540250.3549093

On the use of evaluation measures for defect prediction studies

Autori: Rebecca Moussa, Federica Sarro
Pubblicato in: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023, Pagina/e 101-113
Editore: ACM
DOI: 10.1145/3533767.3534405

Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques

Autori: Mar Zamorano, África Domingo, Carlos Cetina, Federica Sarro
Pubblicato in: Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024, Pagina/e 302-313
Editore: ACM
DOI: 10.1145/3674805.3686690

Automated Optimisation of Modern Software System Properties

Autori: Federica Sarro
Pubblicato in: Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2024, Pagina/e 3-4
Editore: ACM
DOI: 10.1145/3578244.3583739

On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios

Autori: Rebecca Moussa, Danielle Azar, Federica Sarro
Pubblicato in: 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024, Pagina/e 535-545
Editore: IEEE
DOI: 10.1109/saner60148.2024.00061

The Effect of Offspring Population Size on NSGA-II: A Preliminary Study

Autori: Max Hort, Federica Sarro
Pubblicato in: Proceedings of the 2021 Genetic and Evolutionary Computation Conference (GECCO 2021) (ACM), 2021, Pagina/e 179-180
Editore: Association for Computing Machinery
DOI: 10.1145/3449726.3459479

Fairea: A Model Behaviour Mutation Approach to Benchmarking Bias Mitigation Methods

Autori: Max Hort, Jie Zhang, Federica Sarro, and Mark Harman
Pubblicato in: ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021, Pagina/e 994-1006
Editore: Association for Computing Machinery
DOI: 10.1145/3468264.3468565

Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination

Autori: Max Hort, Federica Sarro
Pubblicato in: 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ase51524.2021.9678568

TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs

Autori: Kaibo Liu, Yudong Han, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Gang Huang, Yun Ma
Pubblicato in: Proceedings of the 21st International Conference on Mining Software Repositories, 2024, Pagina/e 113-117
Editore: ACM
DOI: 10.1145/3643991.3644870

MuDelta: Delta-Oriented Mutation Testing at Commit Time

Autori: Wei Ma; Thierry Titcheu Chekam; Mike Papadakis; Mark Harman
Pubblicato in: 43rd IEEE/ACM International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP) / 43rd ACM/IEEE International Conference on Software Engineering - New Ideas and Emerging Results (ICSE-NIER), 2021
Editore: International Conference on Software Engineering (ICSE)
DOI: 10.1109/icse43902.2021.00086

Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e

Autori: Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro
Pubblicato in: 13th Symposium on Search-Based Software Engineering, SSBSE: International Symposium on Search Based Software Engineering, 2021
Editore: SSBSE: International Symposium on Search Based Software Engineering
DOI: 10.1007/978-3-319-47106-8_13

Enhancing Genetic Improvement of Software with Regression Test Selection

Autori: Giovani Guizzo, Justyna Petke, Federica Sarro, and Mark Harman
Pubblicato in: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, ISBN 978-1-6654-0296-5
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icse43902.2021.00120

An Empirical Comparison of Mutant Selection Assessment Metrics

Autori: Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman
Pubblicato in: 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2024, Pagina/e 90-101
Editore: IEEE
DOI: 10.1109/icstw.2019.00037

AutoML from Software Engineering Perspective: Landscapes and Challenges

Autori: Chao Wang, Zhenpeng Chen, Minghui Zhou
Pubblicato in: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 2023, Pagina/e 39-51
Editore: IEEE
DOI: 10.1109/msr59073.2023.00019

Fairness Improvement with Multiple Protected Attributes: How Far Are We?

Autori: Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
Pubblicato in: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, 2024, Pagina/e 1-13
Editore: ACM
DOI: 10.1145/3597503.3639083

Testing Web Enabled Simulation at Scale Using Metamorphic Testing

Autori: John Ahlgren, Maria Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Erik Meijer, Silvia Sapora, Justin Spahr-Summers
Pubblicato in: 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), 2021
Editore: IEEE
DOI: 10.1109/icse-seip52600.2021.00023

Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23)

Autori: Max Hort, Rebecca Moussa, Federica Sarro
Pubblicato in: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023, Pagina/e 23-24
Editore: ACM
DOI: 10.1145/3583133.3595847

Facebook’s Cyber–Cyber and Cyber–Physical Digital Twins

Autori: John Ahlgren, Kinga Bojarczuk, Sophia Drossopoulou, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Simon M. M. Lucas, Erik Meijer, Steve Omohundro, Rubmary Rojas, Silvia Sapora, Norm Zhou
Pubblicato in: Evaluation and Assessment in Software Engineering, 2023, Pagina/e 1-9
Editore: ACM
DOI: 10.1145/3463274.3463275

Assess and Summarize: Improve Outage Understanding with Large Language Models

Autori: 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
Pubblicato in: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2024, Pagina/e 1657-1668
Editore: ACM
DOI: 10.1145/3611643.3613891

Who Judges the Judge: An Empirical Study on Online Judge Tests

Autori: Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma
Pubblicato in: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023, Pagina/e 334-346
Editore: ACM
DOI: 10.1145/3597926.3598060

FlakiMe

Autori: Maxime Cordy, Renaud Rwemalika, Adriano Franci, Mike Papadakis, Mark Harman
Pubblicato in: Proceedings of the 44th International Conference on Software Engineering, 2024
Editore: ACM
DOI: 10.1145/3510003.3510194

Optimising word embeddings with search-based approaches

Autori: Max Hort, Federica Sarro
Pubblicato in: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020, Pagina/e 269-270, ISBN 9781450371278
Editore: ACM
DOI: 10.1145/3377929.3390039

Green AI: Do Deep Learning Frameworks Have Different Costs?

Autori: Georgiou, Stefanos; Kechagia, Maria; Sharma, Tushar; Sarro, Federica; Zou, Ying
Pubblicato in: International Conference on Software Engineering (ICSE), 2022
Editore: ACM
DOI: 10.1145/3510003.3510221

Exploring LLM-Driven Explanations for Quantum Algorithms

Autori: Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro
Pubblicato in: Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024, Pagina/e 475-481
Editore: ACM
DOI: 10.1145/3674805.3690753

A new approach to distribute MOEA pareto front computation

Autori: Federica Sarro, Alessio Petrozziello, Dan-Qi He, Shin Yoo
Pubblicato in: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020, Pagina/e 315-316, ISBN 9781450371278
Editore: ACM
DOI: 10.1145/3377929.3390024

Investigating the Effectiveness of Clustering for Story Point Estimation

Autori: Tawosi, Vali; Al-Subaihin, Afnan; Sarro, Federica
Pubblicato in: 29th IEEE International Conference on Software Analysis, Evolution and Reengineering, 2022
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/saner2022.2022.00101

A versatile dataset of agile open source software projects

Autori: Vali Tawosi, Afnan Al-Subaihin, Rebecca Moussa, Federica Sarro
Pubblicato in: Proceedings of the 19th International Conference on Mining Software Repositories, 2023
Editore: ACM
DOI: 10.1145/3524842.3528029

'Ignorance and Prejudice' in Software Fairness

Autori: Jie Zhang, Mark Harman
Pubblicato in: (Proceedings) 43th International Conference on Software Engineering, 2021, ISSN 1558-1225
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/icse43902.2021.00129

"Are mutants really natural? - a study on how ""naturalness"" helps mutant selection"

Autori: Matthieu Jimenez, Thiery Titcheu Checkam, Maxime Cordy, Mike Papadakis, Marinos Kintis, Yves Le Traon, Mark Harman
Pubblicato in: Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement - ESEM '18, 2018, Pagina/e 1-10, ISBN 9781-450358231
Editore: ACM Press
DOI: 10.1145/3239235.3240500

Customer Rating Reactions Can Be Predicted Purely using App Features

Autori: Federica Sarro, Mark Harman, Yue Jia, Yuanyuan Zhang
Pubblicato in: 2018 IEEE 26th International Requirements Engineering Conference (RE), 2018, Pagina/e 76-87, ISBN 978-1-5386-7418-5
Editore: IEEE
DOI: 10.1109/re.2018.00018

OASIs: oracle assessment and improvement tool

Autori: Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
Pubblicato in: Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis - ISSTA 2018, 2018, Pagina/e 368-371, ISBN 9781-450356992
Editore: ACM Press
DOI: 10.1145/3213846.3229503

From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis

Autori: Mark Harman, Peter O'Hearn
Pubblicato in: 2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2018, Pagina/e 1-23, ISBN 978-1-5386-8290-6
Editore: IEEE
DOI: 10.1109/scam.2018.00009

CROP - linking code reviews to source code changes

Autori: Matheus Paixao, Jens Krinke, Donggyun Han, Mark Harman
Pubblicato in: Proceedings of the 15th International Conference on Mining Software Repositories - MSR '18, 2018, Pagina/e 46-49, ISBN 9781-450357166
Editore: ACM Press
DOI: 10.1145/3196398.3196466

The importance of accounting for real-world labelling when predicting software vulnerabilities

Autori: Matthieu Jimenez, Renaud Rwemalika, Mike Papadakis, Federica Sarro, Yves Le Traon, Mark Harman
Pubblicato in: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2019, 2019, Pagina/e 695-705, ISBN 9781-450355728
Editore: ACM Press
DOI: 10.1145/3338906.3338941

Automatic testing and improvement of machine translation

Autori: Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang
Pubblicato in: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, 2024, Pagina/e 974-985
Editore: ACM
DOI: 10.1145/3377811.3380420

Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness?

Autori: Jie M. Zhang, Lingming Zhang, Dan Hao, Meng Wang, Lu Zhang
Pubblicato in: 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST), 2019, Pagina/e 252-263, ISBN 978-1-7281-1736-2
Editore: IEEE
DOI: 10.1109/icst.2019.00033

Some challenges for software testing research (invited talk paper)

Autori: Nadia Alshahwan, Ilya Zorin, Andrea Ciancone, Mark Harman, Yue Jia, Ke Mao, Alexandru Marginean, Alexander Mols, Hila Peleg, Federica Sarro
Pubblicato in: Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis - ISSTA 2019, 2019, Pagina/e 1-3, ISBN 9781-450362245
Editore: ACM Press
DOI: 10.1145/3293882.3338991

MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23)

Autori: Rebecca Moussa, Giovani Guizzo, Federica Sarro
Pubblicato in: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023, Pagina/e 37-38
Editore: ACM
DOI: 10.1145/3583133.3595850

Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness

Autori: Max Hort, Federica Sarro
Pubblicato in: International Workshop on Equitable Data and Technology (FairWare ’22 ), 2022
Editore: FairWare
DOI: 10.1145/3524491.3527308

The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking

Autori: Justyna Petke, Matias Martinez, Maria Kechagia, Aldeida Aleti, Federica Sarro
Pubblicato in: Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024, Pagina/e 452-456
Editore: ACM
DOI: 10.1145/3663529.3663776

Comparing Fuzzers on a Level Playing Field with FuzzBench

Autori: Dario Asprone, Jonathan Metzman, Abhishek Arya, Giovani Guizzo, Federica Sarro
Pubblicato in: 2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 2022, Pagina/e 302-311
Editore: IEEE
DOI: 10.1109/icst53961.2022.00039

User-Centric Deployment of Automated Program Repair at Bloomberg

Autori: David Williams, James Callan, Serkan Kirbas, Sergey Mechtaev, Justyna Petke, Thomas Prideaux-Ghee, Federica Sarro
Pubblicato in: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024, Pagina/e 81-91
Editore: ACM
DOI: 10.1145/3639477.3639756

Agile Effort Estimation: Have We Solved the Problem Yet? Insights From the Replication of the GPT2SP Study

Autori: Vali Tawosi, Rebecca Moussa, Federica Sarro
Pubblicato in: 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024, Pagina/e 1034-1041
Editore: IEEE
DOI: 10.1109/saner60148.2024.00111

Broken Agreement: The Evolution of Solidity Error Handling

Autori: Charalambos Mitropoulos, Maria Kechagia, Chrysostomos Maschas, Sotirios Ioannidis, Federica Sarro, Dimitrios Mitropoulos
Pubblicato in: Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024, Pagina/e 257-268
Editore: ACM
DOI: 10.1145/3674805.3686686

Behavioural and Structural Imitation Models in Facebook’s WW Simulation System

Autori: J. Ahlgren; K. Bojarczuk; I. Dvortsova; M. Harman; R. Hatout; M. Lomeli; E. Meijer; S. Sapora
Pubblicato in: International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE), 2021
Editore: Facebook

A Versatile Dataset of Agile Open Source Software Projects

Autori: Vali Tawosi, Afnan Al-Subaihin, Rebecca Moussa, Federica Sarro
Pubblicato in: 19th International Conference on Mining Software Repositories (MSR’22), 2022
Editore: MSR
DOI: 10.48550/arxiv.2202.00979

Search-Based Software Engineering in the Era of Modern Software Systems

Autori: Federica Sarro
Pubblicato in: 2023 IEEE 31st International Requirements Engineering Conference (RE), 2023
Editore: IEEE
DOI: 10.1109/re57278.2023.00010

Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook’s WW Simulation System

Autori: K. Bojarczuk; N. Gucevska; S. Lucas; I. Dvortsova; M. Harman; E. Meijer; S. Sapora; J. George; M. Lomeli; R. Rojas
Pubblicato in: ESEM '21: Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Numero Article No 2 Pages 1–10, 2021
Editore: ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
DOI: 10.1145/3475716.3484196

Cost measures matter for mutation testing study validity

Autori: Giovani Guizzo, Federica Sarro, Mark Harman
Pubblicato in: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020, Pagina/e 1127-1139, ISBN 9781450370431
Editore: ACM
DOI: 10.1145/3368089.3409742

Refining Fitness Functions for Search-Based Automated Program Repair

Autori: Giovani Guizzo, Aymeric Blot, James Callan, Justyna Petke, Federica Sarro
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2021, Pagina/e 159-165
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-88106-1_12

Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software

Autori: Mingyi Lim, Giovani Guizzo, Justyna Petke
Pubblicato in: Search-Based Software Engineering - 12th International Symposium, SSBSE 2020, Bari, Italy, October 7–8, 2020, Proceedings, Numero 12420, 2020, Pagina/e 188-203, ISBN 978-3-030-59761-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-59762-7_14

Evaluating Explanations for Software Patches Generated by Large Language Models

Autori: Dominik Sobania, Alina Geiger, James Callan, Alexander Brownlee, Carol Hanna, Rebecca Moussa, Mar Zamorano López, Justyna Petke, Federica Sarro
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2024, Pagina/e 147-152
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48796-5_12

Deploying Search Based Software Engineering with Sapienz at Facebook

Autori: Nadia Alshahwan, Xinbo Gao, Mark Harman, Yue Jia, Ke Mao, Alexander Mols, Taijin Tei, Ilya Zorin
Pubblicato in: Search-Based Software Engineering - 10th International Symposium, SSBSE 2018, Montpellier, France, September 8-9, 2018, Proceedings, Numero 11036, 2018, Pagina/e 3-45, ISBN 978-3-319-99240-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-99241-9_1

We Need a Testability Transformation Semantics

Autori: Mark Harman
Pubblicato in: Software Engineering and Formal Methods - 16th International Conference, SEFM 2018, Held as Part of STAF 2018, Toulouse, France, June 27–29, 2018, Proceedings, Numero 10886, 2018, Pagina/e 3-17, ISBN 978-3-319-92969-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-92970-5_1

A Review of Ten Years of the Symposium on Search-Based Software Engineering

Autori: Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Paulo Roberto Farah, Silvia Regina Vergilio, Giovani Guizzo
Pubblicato in: Search-Based Software Engineering - 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings, Numero 11664, 2019, Pagina/e 42-57, ISBN 978-3-030-27454-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27455-9_4

Enhancing Genetic Improvement Mutations Using Large Language Models

Autori: Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2024, Pagina/e 153-159
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48796-5_13

GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation

Autori: Jingzhi Gong, Sisi Li, Giordano d’Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2024, Pagina/e 70-76
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-64573-0_7

StableYolo: Optimizing Image Generation for Large Language Models

Autori: Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David Kelly, Hector Menendez, Rebecca Moussa, Federica Sarro
Pubblicato in: Lecture Notes in Computer Science, Search-Based Software Engineering, 2024, Pagina/e 133-139
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48796-5_10

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