World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
14681
World Ranking
3078
National Ranking
184

Overview

Martin Shepperd is affiliated with Brunel University London in the United Kingdom. Their research primarily spans the field of Computer Science, with a concentration on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications, and Safety Research.

The scientist's research topics include:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Imbalanced Data Classification Techniques
  • Software System Performance and Reliability
  • Academic integrity and plagiarism
  • Artificial Intelligence in Healthcare and Education
  • Software Engineering Techniques and Practices

Martin Shepperd has contributed to several publication venues, notably:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Information and Software Technology
  • PLoS ONE
  • Infant Behavior and Development

Among their recent papers are:

  • "A systematic review of unsupervised learning techniques for software defect prediction", 2020, Information and Software Technology
  • "The impact of using biased performance metrics on software defect prediction research", 2021, Information and Software Technology
  • "Changing the logic of replication: A case from infant studies", 2020, Infant Behavior and Development
  • "An analysis of retracted papers in Computer Science", 2023, PLoS ONE
  • "The impact of using biased performance metrics on software defect prediction research", 2021, arXiv (Cornell University)

Frequent coauthors collaborating with Martin Shepperd include:

  • Jingxiu Yao
  • Ning Li
  • Yuchen Guo
  • Fernando Brito e Abreu
  • Ricardo Pérez-Castillo

In addition to journal articles, Martin Shepperd has published a book titled Quality of Information and Communications Technology in 2020 with Springer Science+Business Media.

Best Publications

  • Estimating software project effort using analogies

    M. Shepperd;C. Schofield

  • A Systematic Review of Software Development Cost Estimation Studies

    M. Jorgensen;M. Shepperd

  • Data Quality: Some Comments on the NASA Software Defect Datasets

    M. Shepperd;Qinbao Song;Zhongbin Sun;C. Mair

  • What accuracy statistics really measure

    Barbara A. Kitchenham;Lesley Pickard;Stephen G. MacDonell;Martin J. Shepperd

  • A General Software Defect-Proneness Prediction Framework

    Qinbao Song;Zihan Jia;M Shepperd;Shi Ying

  • Evaluating prediction systems in software project estimation

    Martin Shepperd;Steve MacDonell

  • Researcher Bias: The Use of Machine Learning in Software Defect Prediction

    Martin Shepperd;David Bowes;Tracy Hall

  • Reformulating software engineering as a search problem

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

  • Effort estimation using analogy

    Martin Shepperd;Chris Schofield;Barbara Kitchenham

  • Comparing software prediction techniques using simulation

    M. Shepperd;G. Kadoda

  • An empirical investigation of an object-oriented software system

    M. Cartwright;M. Shepperd

  • Reliability and validity in comparative studies of software prediction models

    I. Myrtveit;E. Stensrud;M. Shepperd

  • A critique of cyclomatic complexity as a software metric

    Martin J. Shepperd

  • An investigation of machine learning based prediction systems

    Carolyn Mair;Gada Kadoda;Martin Lefley;Keith Phalp

  • A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction

    Qinbao Song;Yuchen Guo;Martin Shepperd

  • Software defect association mining and defect correction effort prediction

    Qinbao Song;M. Shepperd;M. Cartwright;C. Mair

  • Comments on "A metrics suite for object oriented design

    N.I. Churcher;M.J. Shepperd;S. Chidamber;C.F. Kemerer

  • A systematic review of unsupervised learning techniques for software defect prediction

    Ning Li;Martin J. Shepperd;Yuchen Guo

  • Search Heuristics, Case-based Reasoning And Software Project Effort Prediction

    Colin Kirsopp;Martin J. Shepperd;John Hart

  • Practical software metrics for project management and process improvement: R Grady Prentice-Hall (1992) £30.95 282 pp ISBN 0 13 720384 5

    Martin J. Shepperd

  • Formulating software engineering as a search problem.

    John A. Clark;José Javier Dolado;Mark Harman;Robert M. Hierons

  • What accuracy statistics really measure

    Barbara Ann Kitchenham;Stephen G. MacDonell;Lesley M. Pickard;Martin J. Shepperd

Frequent Co-Authors

Stephen G. MacDonell
Stephen G. MacDonell Victoria University of Wellington
Steve Counsell
Steve Counsell Brunel University London
Barbara Kitchenham
Barbara Kitchenham Keele University
Mark Harman
Mark Harman University College London
Magne Jørgensen
Magne Jørgensen Simula Research Laboratory
Tracy Hall
Tracy Hall Lancaster University
Marc Roper
Marc Roper University of Strathclyde
Tim Menzies
Tim Menzies North Carolina State University
Robert M. Hierons
Robert M. Hierons University of Sheffield
Per Runeson
Per Runeson Lund University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

In addition to Computer Science, students interested in technology and related fields have a variety of accredited online degrees to choose from. For those looking to expand into finance or business, an accredited online accounting degree can open doors in corporate, public, and governmental sectors.

The demand for data specialists continues to grow. Pursuing an online masters in data science prepares graduates for advanced roles in analytics, artificial intelligence, and research—often commanding competitive salaries.

For those drawn to law, security, or forensics, the cheapest online phd in criminal justice programs offer a pathway into advanced research, academia, or leadership roles in the public sector.

If you’re interested in combining technology with project management, an accelerated construction management degree online can fast-track entry to management roles in the construction and engineering industries.

Exploring these related fields can diversify your skills and expand your career opportunities in today’s digital-first workforce.

Best Scientists Citing Martin Shepperd

Trending Scientists