World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
108
Citations
43995
World Ranking
259
National Ranking
13

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Mark Harman is affiliated with University College London in the United Kingdom and has contributed extensively to research in Computer Science, with a particular focus on software and machine learning domains. Their work spans multiple subfields, including Software, Information Systems, Artificial Intelligence, Computer Networks and Communications, and Safety Research.

The scientist's research topics include Software Testing and Debugging Techniques, Software Engineering Research, Software Reliability and Analysis Research, Adversarial Robustness in Machine Learning, Software System Performance and Reliability, Ethics and Social Impacts of AI, and Explainable Artificial Intelligence (XAI).

Mark Harman has published papers in several prominent venues. Notable publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Software Engineering
  • ACM Transactions on Software Engineering and Methodology
  • Empirical Software Engineering
  • Proceedings of the 44th International Conference on Software Engineering

Some of the recent papers authored by or co-authored with Mark Harman are:

  • Machine Learning Testing: Survey, Landscapes and Horizons, 2020, IEEE Transactions on Software Engineering
  • Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey, 2023, ACM Journal on Responsible Computing
  • An Empirical Study of the Non-Determinism of ChatGPT in Code Generation, 2024, ACM Transactions on Software Engineering and Methodology
  • A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers, 2023, ACM Transactions on Software Engineering and Methodology
  • A Survey of Performance Optimization for Mobile Applications, 2021, IEEE Transactions on Software Engineering

Mark Harman frequently collaborates with other researchers. Some of the main co-authors include:

  • Jie M. Zhang
  • Federica Sarro
  • Zhenpeng Chen
  • Max Hort
  • Kinga Bojarczuk

Best Publications

  • An Analysis and Survey of the Development of Mutation Testing

    Yue Jia;M. Harman

  • Regression testing minimization, selection and prioritization: a survey

    S. Yoo;M. Harman

  • Search-based software engineering

    Mark Harman;Bryan F Jones

  • The Oracle Problem in Software Testing: A Survey

    Earl T. Barr;Mark Harman;Phil McMinn;Muzammil Shahbaz

  • Search Algorithms for Regression Test Case Prioritization

    Z. Li;M. Harman;R.M. Hierons

  • Search-based software engineering: Trends, techniques and applications

    Mark Harman;S. Afshin Mansouri;Yuanyuan Zhang

  • An orchestrated survey of methodologies for automated software test case generation

    Saswat Anand;Edmund K. Burke;Tsong Yueh Chen;John Clark

  • Machine Learning Testing: Survey, Landscapes and Horizons

    Jie M. Zhang;Mark Harman;Lei Ma;Yang Liu

  • The Current State and Future of Search Based Software Engineering

    M. Harman

  • Search based software engineering: techniques, taxonomy, tutorial

    Mark Harman;Phil McMinn;Jerffeson Teixeira de Souza;Shin Yoo

  • Sapienz: multi-objective automated testing for Android applications

    Ke Mao;Mark Harman;Yue Jia

  • Genetic and Evolutionary Computation -- GECCO-2003

    Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis

  • A Survey of App Store Analysis for Software Engineering

    William Martin;Federica Sarro;Yue Jia;Yuanyuan Zhang

  • A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search

    M. Harman;P. McMinn

  • Pareto efficient multi-objective test case selection

    Shin Yoo;Mark Harman

  • Using formal specifications to support testing

    Robert M. Hierons;Kirill Bogdanov;Jonathan P. Bowen;Rance Cleaveland

  • A survey of the use of crowdsourcing in software engineering

    Ke Mao;Licia Capra;Mark Harman;Yue Jia

  • Software Module Clustering as a Multi-Objective Search Problem

    Kata Praditwong;Mark Harman;Xin Yao

  • Mutation Testing Advances: An Analysis and Survey

    Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia

  • Reformulating software engineering as a search problem

    J Clarke;J J Dolado;Mark Harman;R Hierons

Frequent Co-Authors

Robert M. Hierons
Robert M. Hierons University of Sheffield
David Binkley
David Binkley Loyola University Maryland
Yue Jia
Yue Jia University College London
Shin Yoo
Shin Yoo Korea Advanced Institute of Science and Technology
William B. Langdon
William B. Langdon University College London
Jens Krinke
Jens Krinke University College London
Phil McMinn
Phil McMinn University of Sheffield
Federica Sarro
Federica Sarro University College London
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana
Malcolm Munro
Malcolm Munro Durham University

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