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

D-Index & Metrics

Computer Science

D-Index
69
Citations
20731
World Ranking
1965
National Ranking
73

Research.com Recognitions

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

Overview

Gail C. Murphy is affiliated with the University of British Columbia in Canada. Their research primarily focuses on the field of Computer Science, with significant work in related subfields such as Information Systems, Information Systems and Management, Artificial Intelligence, Human-Computer Interaction, and Computer Science Applications.

The scientist's research topics include software engineering research, software engineering techniques and practices, personal information management and user behavior, advanced software engineering methodologies, usability and user interface design, open source software innovations, and mental health research topics.

Gail C. Murphy has published papers in several venues, with multiple contributions to the Proceedings of the ACM on Human-Computer Interaction and the 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). Other publication venues include the Journal of Systems and Software, the International Journal of Human-Computer Studies, and the Proceedings of the 44th International Conference on Software Engineering.

  • Observing and predicting knowledge worker stress, focus and awakeness in the wild (2020, International Journal of Human-Computer Studies)
  • Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto (2024, Journal of Systems and Software)
  • An exploratory study of productivity perceptions in software teams (2022, Proceedings of the 44th International Conference on Software Engineering)
  • Detecting Developers' Task Switches and Types (2020, IEEE Transactions on Software Engineering)
  • Cultivating a Team Mindset about Productivity with a Nudge: A Field Study in Hybrid Development Teams (2023, Proceedings of the ACM on Human-Computer Interaction)

Frequent co-authors in Gail C. Murphy's work include Thomas Fritz, Alexander Lill, Lauren Howe, Arthur Marques, and Chris Satterfield.

Best Publications

  • Who should fix this bug

    John Anvik;Lyndon Hiew;Gail C. Murphy

  • Software reflexion models: bridging the gap between source and high-level models

    Gail C. Murphy;David Notkin;Kevin Sullivan

  • An empirical study of code clone genealogies

    Miryung Kim;Vibha Sazawal;David Notkin;Gail Murphy

  • Predicting source code changes by mining change history

    A.T.T. Ying;G.C. Murphy;R. Ng;M.C. Chu-Carroll

  • Using task context to improve programmer productivity

    Mik Kersten;Gail C. Murphy

  • How are Java software developers using the Elipse IDE

    G.C. Murphy;M. Kersten;L. Findlater

  • Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness

    Thomas Fritz;Elaine M. Huang;Gail C. Murphy;Thomas Zimmermann

  • Using structural context to recommend source code examples

    Reid Holmes;Gail C. Murphy

  • Software reflexion models: bridging the gap between design and implementation

    G.C. Murphy;D. Notkin;K.J. Sullivan

  • Automatic bug triage using text categorization.

    Davor Cubranic;Gail C. Murphy

  • Concern graphs: finding and describing concerns using structural program dependencies

    Martin P. Robillard;Gail C. Murphy

  • Hipikat: recommending pertinent software development artifacts

    Davor Čubranić;Gail C. Murphy

  • Mylar: a degree-of-interest model for IDEs

    Mik Kersten;Gail C. Murphy

  • Hipikat: a project memory for software development

    D. Cubranic;G.C. Murphy;J. Singer;K.S. Booth

  • Asking and Answering Questions during a Programming Change Task

    J. Sillito;G.C. Murphy;K. De Volder

  • Reducing the effort of bug report triage: Recommenders for development-oriented decisions

    John Anvik;Gail C. Murphy

  • Questions programmers ask during software evolution tasks

    Jonathan Sillito;Gail C. Murphy;Kris De Volder

  • Coping with an open bug repository

    John Anvik;Lyndon Hiew;Gail C. Murphy

  • How effective developers investigate source code: an exploratory study

    M.P. Robillard;W. Coelho;G.C. Murphy

  • Do Crosscutting Concerns Cause Defects

    M. Eaddy;T. Zimmermann;K.D. Sherwood;V. Garg

Frequent Co-Authors

Martin P. Robillard
Martin P. Robillard McGill University
David Notkin
David Notkin University of Washington
Emerson Murphy-Hill
Emerson Murphy-Hill Google (United States)
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Kevin Sullivan
Kevin Sullivan University of Virginia
William G. Griswold
William G. Griswold University of California, San Diego
Mauro Pezzè
Mauro Pezzè Universita della Svizzera Italiana
Gregor Kiczales
Gregor Kiczales University of British Columbia
Kellogg S. Booth
Kellogg S. Booth University of British Columbia
Mary Jean Harrold
Mary Jean Harrold Georgia Institute of Technology

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