Mark Harman

Mark Harman

University College London

H-index: 102

Europe-United Kingdom

About Mark Harman

Mark Harman, With an exceptional h-index of 102 and a recent h-index of 60 (since 2020), a distinguished researcher at University College London, specializes in the field of SBSE, Software Testing, Evolutionary Computation, Program Analysis, Software Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Search-based automatic repair for fairness and accuracy in decision-making software

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

Mutation analysis for evaluating code translation

Enhancing Testing at Meta with Rich-State Simulated Populations

Automated unit test improvement using large language models at meta

Observation-based unit test generation at Meta

Assured LLM-Based Software Engineering

Speeding up Genetic Improvement via Regression Test Selection

Mark Harman Information

University

Position

Research Scientist at Facebook & Professor of Software Engineering at

Citations(all)

42009

Citations(since 2020)

16319

Cited By

32665

hIndex(all)

102

hIndex(since 2020)

60

i10Index(all)

376

i10Index(since 2020)

234

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Mark Harman Skills & Research Interests

SBSE

Software Testing

Evolutionary Computation

Program Analysis

Software Engineering

Top articles of Mark Harman

Title

Journal

Author(s)

Publication Date

Search-based automatic repair for fairness and accuracy in decision-making software

Empirical Software Engineering

Max Hort

Jie M Zhang

Federica Sarro

Mark Harman

2024/2

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

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2024/4/12

Mutation analysis for evaluating code translation

Empirical Software Engineering

Giovani Guizzo

Jie M Zhang

Federica Sarro

Christoph Treude

Mark Harman

2024/1

Enhancing Testing at Meta with Rich-State Simulated Populations

arXiv preprint arXiv:2403.15374

Nadia Alshahwan

Arianna Blasi

Kinga Bojarczuk

Andrea Ciancone

Natalija Gucevska

...

2024/3/22

Automated unit test improvement using large language models at meta

arXiv preprint arXiv:2402.09171

Nadia Alshahwan

Jubin Chheda

Anastasia Finegenova

Beliz Gokkaya

Mark Harman

...

2024/2/14

Observation-based unit test generation at Meta

arXiv preprint arXiv:2402.06111

Nadia Alshahwan

Mark Harman

Alexandru Marginean

Rotem Tal

Eddy Wang

2024/2/9

Assured LLM-Based Software Engineering

arXiv preprint arXiv:2402.04380

Nadia Alshahwan

Mark Harman

Inna Harper

Alexandru Marginean

Shubho Sengupta

...

2024/2/6

Speeding up Genetic Improvement via Regression Test Selection

ACM Transactions on Software Engineering and Methodology

Giovani Guizzo

David Williams

Mark Harman

Justyna Petke

Federica Sarro

2024/4/15

Fairness Testing: A Comprehensive Survey and Analysis of Trends

ACM Transactions on Software Engineering and Methodology (TOSEM) 2024

Zhenpeng Chen

Jie M Zhang

Max Hort

Mark Harman

Federica Sarro

2024

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

Empirical Software Engineering

Giovani Guizzo

Francesco Califano

Federica Sarro

Filomena Ferrucci

Mark Harman

2023/7

Large language models in fault localisation

arXiv preprint arXiv:2308.15276

Yonghao Wu

Zheng Li

Jie M Zhang

Mike Papadakis

Mark Harman

...

2023/8/29

Model validation using mutated training labels: an exploratory study

Neurocomputing

Jie M Zhang

Mark Harman

Benjamin Guedj

Earl T Barr

John Shawe-Taylor

2023/6/28

Coco: Testing code generation systems via concretized instructions

arXiv preprint arXiv:2308.13319

Ming Yan

Junjie Chen

Jie M Zhang

Xuejie Cao

Chen Yang

...

2023/8/25

A comprehensive empirical study of bias mitigation methods for machine learning classifiers

ACM transactions on software engineering and methodology

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2023/5/27

LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation

arXiv preprint arXiv:2308.02828

Shuyin Ouyang

Jie M Zhang

Mark Harman

Meng Wang

2023/8/5

Keeping mutation test suites consistent and relevant with long-standing mutants

Milos Ojdanic

Mike Papadakis

Mark Harman

2023/11/30

Simulation-Driven Automated End-to-End Test and Oracle Inference

Shreshth Tuli

Kinga Bojarczuk

Natalija Gucevska

Mark Harman

Xiao-Yu Wang

...

2023/2/5

Bias mitigation for machine learning classifiers: A comprehensive survey

Max Hort

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2022/7/14

An Empirical Study on Fairness Improvement with Multiple Protected Attributes

arXiv preprint arXiv:2308.01923

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2023/7/25

Software Testing Research Challenges: An Industrial Perspective

Nadia Alshahwan

Mark Harman

Alexandru Marginean

2023/4/16

See List of Professors in Mark Harman University(University College London)

Co-Authors

H-index: 75
Yves Le Traon

Yves Le Traon

Université du Luxembourg

H-index: 65
Paolo Tonella

Paolo Tonella

Università della Svizzera Italiana

H-index: 59
w b langdon

w b langdon

University College London

H-index: 54
Dave Binkley

Dave Binkley

Loyola University Maryland

H-index: 45
Yue Jia

Yue Jia

University College London

H-index: 43
Mike Papadakis

Mike Papadakis

Université du Luxembourg

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