Mark Harman
University College London
H-index: 102
Europe-United Kingdom
Top articles of Mark Harman
Speeding up Genetic Improvement via Regression Test Selection
ACM Transactions on Software Engineering and Methodology
2024/4/15
Fairness Improvement with Multiple Protected Attributes: How Far Are We?
2024/4/12
Enhancing Testing at Meta with Rich-State Simulated Populations
arXiv preprint arXiv:2403.15374
2024/3/22
Automated unit test improvement using large language models at meta
arXiv preprint arXiv:2402.09171
2024/2/14
Mark Harman
H-Index: 64
Alexandru Marginean
H-Index: 6
Observation-based unit test generation at Meta
arXiv preprint arXiv:2402.06111
2024/2/9
Mark Harman
H-Index: 64
Alexandru Marginean
H-Index: 6
Assured LLM-Based Software Engineering
arXiv preprint arXiv:2402.04380
2024/2/6
Mark Harman
H-Index: 64
Alexandru Marginean
H-Index: 6
Search-based automatic repair for fairness and accuracy in decision-making software
Empirical Software Engineering
2024/2
Mutation analysis for evaluating code translation
Empirical Software Engineering
2024/1
Keeping mutation test suites consistent and relevant with long-standing mutants
2023/11/30
Mike Papadakis
H-Index: 31
Mark Harman
H-Index: 64
Bias mitigation for machine learning classifiers: A comprehensive survey
2022/7/14
Large language models for software engineering: Survey and open problems
arXiv preprint arXiv:2310.03533
2023/10/5
Mark Harman
H-Index: 64
Shin Yoo
H-Index: 29
Large language models in fault localisation
arXiv preprint arXiv:2308.15276
2023/8/29
Coco: Testing code generation systems via concretized instructions
arXiv preprint arXiv:2308.13319
2023/8/25
LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation
arXiv preprint arXiv:2308.02828
2023/8/5
Mark Harman
H-Index: 64
Meng Wang
H-Index: 9
An Empirical Study on Fairness Improvement with Multiple Protected Attributes
arXiv preprint arXiv:2308.01923
2023/7/25
Who judges the judge: An empirical study on online judge tests
2023/7/12
Inferring test models from user bug reports using multi-objective search
Empirical Software Engineering
2023/7
Model validation using mutated training labels: an exploratory study
Neurocomputing
2023/6/28
Mark Harman
H-Index: 64
John Shawe-Taylor
H-Index: 49
A comprehensive empirical study of bias mitigation methods for machine learning classifiers
ACM transactions on software engineering and methodology
2023/5/27
Simulation-Driven Automated End-to-End Test and Oracle Inference
2023/2/5
Co-Authors
