Max Hort

35 papers A* 1A 5Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances.
ACM Trans. Softw. Eng. Methodol.
Zhao Tian, Minghua Ma, Max Hort, Federica Sarro, Hongyu Zhang, Junjie Chen
2026 J jnl
FairRF: Multi-Objective Search for Single and Intersectional Software Fairness.
CoRR
Giordano d'Aloisio, Max Hort, Rebecca Moussa, Federica Sarro
2026 J jnl
FairST: A novel approach for machine learning bias repair through latent sensitive attribute translation.
Inf. Softw. Technol.
Carmen Meinson, Max Hort, Federica Sarro
2025 A conf
Codehacks: A Dataset of Adversarial Tests for Competitive Programming Problems Obtained from Codeforces.
ICST
Max Hort, Leon Moonen
2025 J jnl
Codehacks: A Dataset of Adversarial Tests for Competitive Programming Problems Obtained from Codeforces.
CoRR
Max Hort, Leon Moonen
2025 J jnl
Reflecting on Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models.
CoRR
David Williams, Max Hort, Maria Kechagia, Aldeida Aleti, Justyna Petke, Federica Sarro
2025 — conf
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection.
ICSTW
Max Hort, Linas Vidziunas, Leon Moonen
2025 J jnl
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection.
CoRR
Max Hort, Linas Vidziunas, Leon Moonen
2025 A conf
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models.
EASE
Fernando Vallecillos Ruiz, Max Hort, Leon Moonen
2025 J jnl
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models.
CoRR
Fernando Vallecillos Ruiz, Max Hort, Leon Moonen
2025 A conf
The Impact of Fine-Tuning Large Language Models on Automated Program Repair.
ICSME
Roman Machácek, Anastasiia Grishina, Max Hort, Leon Moonen
2025 J jnl
The Impact of Fine-tuning Large Language Models on Automated Program Repair.
CoRR
Roman Machácek, Anastasiia Grishina, Max Hort, Leon Moonen
2025 J jnl
Wisdom and Delusion of LLM Ensembles for Code Generation and Repair.
CoRR
Fernando Vallecillos Ruiz, Max Hort, Leon Moonen
2024 A conf
A Comparative Study on Large Language Models for Log Parsing.
ESEM
Merve Astekin, Max Hort, Leon Moonen
2024 J jnl
A Comparative Study on Large Language Models for Log Parsing.
CoRR
Merve Astekin, Max Hort, Leon Moonen
2024 J jnl
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models.
CoRR
Fernando Vallecillos Ruiz, Anastasiia Grishina, Max Hort, Leon Moonen
2024 — conf
An Exploratory Study on How Non-Determinism in Large Language Models Affects Log Parsing.
InteNSE
Merve Astekin, Max Hort, Leon Moonen
2024 J jnl
Fairness Testing: A Comprehensive Survey and Analysis of Trends.
ACM Trans. Softw. Eng. Methodol.
Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro
2024 J jnl
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software.
Empir. Softw. Eng.
Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman
2023 A conf
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code.
ESEM
Max Hort, Anastasiia Grishina, Leon Moonen
2023 J jnl
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code.
CoRR
Max Hort, Anastasiia Grishina, Leon Moonen
2023 — conf
Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23).
GECCO Companion
Max Hort, Rebecca Moussa, Federica Sarro
2023 J jnl
Multi-objective search for gender-fair and semantically correct word embeddings.
Appl. Soft Comput.
Max Hort, Rebecca Moussa, Federica Sarro
2023 — conf
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification.
ESEC/SIGSOFT FSE
Anastasiia Grishina, Max Hort, Leon Moonen
2023 J jnl
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification.
CoRR
Anastasiia Grishina, Max Hort, Leon Moonen
2022 J jnl
A Survey of Performance Optimization for Mobile Applications.
IEEE Trans. Software Eng.
Max Hort, Maria Kechagia, Federica Sarro, Mark Harman
2022 J jnl
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.
CoRR
Max Hort, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman
2022 J jnl
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances.
CoRR
Minghua Ma, Zhao Tian, Max Hort, Federica Sarro, Hongyu Zhang, Qingwei Lin, Dongmei Zhang
2022 J jnl
Fairness Testing: A Comprehensive Survey and Analysis of Trends.
CoRR
Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman
2022 — conf
Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness.
FairWare@ICSE
Max Hort, Federica Sarro
2022 — conf
Py2Cy: a genetic improvement tool to speed up python.
GECCO Companion
James Zhong, Max Hort, Federica Sarro
2021 A* conf
Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination.
ASE
Max Hort, Federica Sarro
2021 — conf
Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods.
ESEC/SIGSOFT FSE
Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman
2021 — conf
The effect of offspring population size on NSGA-II: a preliminary study.
GECCO Companion
Max Hort, Federica Sarro
2020 — conf
Optimising word embeddings with search-based approaches.
GECCO Companion
Max Hort, Federica Sarro