World's Best Scientists 2026 revealed!
Martin P. Robillard

Martin P. Robillard

D-Index & Metrics

Computer Science

D-Index
52
Citations
10088
World Ranking
5115
National Ranking
202

Research.com Recognitions

  • 2010 - ACM Senior Member

Overview

Martin P. Robillard is affiliated with McGill University in Canada and has contributed extensively to the field of Computer Science, with a focus on software engineering research. Their work spans various subfields such as Information Systems, Computer Science Applications, Artificial Intelligence, Software, and Communication.

The main topics addressed in their research include software engineering research, software engineering techniques and practices, scientific computing and data management, wikis in education and collaboration, open source software innovations, open education and e-learning, and software testing and debugging techniques.

Martin P. Robillard's recent scholarly output features papers published primarily in recognized venues such as ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, Journal of Systems and Software, and others. Notable publications include:

  • Communicating Study Design Trade-offs in Software Engineering (2024) - ACM Transactions on Software Engineering and Methodology
  • Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto (2024) - Journal of Systems and Software
  • How programmers find online learning resources (2022) - Empirical Software Engineering
  • A study of documentation for software architecture (2023) - Empirical Software Engineering
  • Information correspondence between types of documentation for APIs (2020) - Empirical Software Engineering

Frequent coauthors collaborating with Martin P. Robillard include Mathieu Nassif, Deeksha M. Arya, Jin Guo, Neil Ernst, and Klaas-Jan Stol. These collaborations suggest a broad network within software engineering and empirical computing research.

The primary publication outlets for their work are diverse, with a significant number of papers appearing in venues such as Zenodo, Empirical Software Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and arXiv.

Martin P. Robillard has been recognized as an ACM Senior Member since 2010, indicating professional affiliation and recognition within the computing research community.

Best Publications

  • Recommendation Systems for Software Engineering

    Martin Robillard;Robert Walker;Thomas Zimmermann

  • What Makes APIs Hard to Learn? Answers from Developers

    M.P. Robillard

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

    Martin P. Robillard;Gail C. Murphy

  • A field study of API learning obstacles

    Martin P. Robillard;Robert Deline

  • How effective developers investigate source code: an exploratory study

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

  • Representing concerns in source code

    Martin P. Robillard;Gail C. Murphy

  • Recommending Adaptive Changes for Framework Evolution

    Barthélémy Dagenais;Martin P. Robillard

  • Tracking Code Clones in Evolving Software

    Ekwa Duala-Ekoko;Martin P. Robillard

  • Augmenting API documentation with insights from stack overflow

    Christoph Treude;Martin P. Robillard

  • Automated API Property Inference Techniques

    Martin P. Robillard;Eric Bodden;David Kawrykow;Mira Mezini

  • Non-essential changes in version histories

    David Kawrykow;Martin P. Robillard

  • Patterns of Knowledge in API Reference Documentation

    W. Maalej;M. P. Robillard

  • Static analysis to support the evolution of exception structure in object-oriented systems

    Martin P. Robillard;Gail C. Murphy

  • Recommending adaptive changes for framework evolution

    Barthélémy Dagenais;Martin P. Robillard

  • Automatic generation of suggestions for program investigation

    Martin P. Robillard

  • Moving into a new software project landscape

    Barthelemy Dagenais;Harold Ossher;Rachel K. E. Bellamy;Martin P. Robillard

  • Recovering traceability links between an API and its learning resources

    Barthelemy Dagenais;Martin P. Robillard

  • How API Documentation Fails

    Gias Uddin;Martin P. Robillard

  • Discovering essential code elements in informal documentation

    Peter C. Rigby;Martin P. Robillard

  • Proceedings of the 39th International Conference on Software Engineering

    Sebastian Uchitel;Alessandro Orso;Martin Robillard

  • What Makes APIs Hard to Learn? The Answers of Developers

    Martin Robillard

Frequent Co-Authors

Gail C. Murphy
Gail C. Murphy University of British Columbia
Christoph Treude
Christoph Treude Singapore Management University
Alessandro Orso
Alessandro Orso Georgia Institute of Technology
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Walid Maalej
Walid Maalej Universität Hamburg
Sebastian Uchitel
Sebastian Uchitel University of Buenos Aires
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Rachel K. E. Bellamy
Rachel K. E. Bellamy IBM (United States)
Shane McIntosh
Shane McIntosh McGill University
Denys Poshyvanyk
Denys Poshyvanyk William & Mary

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