World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
6546
World Ranking
8073
National Ranking
3460

Overview

James M. Bieman is affiliated with Colorado State University in the United States. The scientific profile reflects a focus on their academic position without details on specific research topics, papers, or collaborations.

The data does not include records of recent publications, frequent co-authors, or common publication venues, which limits detailed insight into their research outputs and collaborative networks.

Information about book publications is not available, and there are no details on their main fields or subfields of study. Similarly, main topics of work or areas of particular research interest have not been specified.

There are no documented awards or honors associated with this scientist, and they are currently active, as there is no indication of being deceased.

Best Publications

  • Cohesion and reuse in an object-oriented system

    James M. Bieman;Byung-Kyoo Kang

  • Measuring functional cohesion

    J.M. Bieman;L.M. Ott

  • Software Metrics: A Rigorous and Practical Approach, Third Edition

    Norman Fenton;James Bieman

  • Software reliability growth with test coverage

    Y.K. Malaiya;M.N. Li;J.M. Bieman;R. Karcich

  • Rapid prototyping: lessons learned

    V.S. Gordon;J.M. Bieman

  • The FreeBSD project: a replication case study of open source development

    T.T. Dinh-Trong;J.M. Bieman

  • Directives for composing aspect-oriented design class models

    Y. R. Reddy;S. Ghosh;G. Straw

  • Measuring design-level cohesion

    J.M. Bieman;Byung-Kyoo Kang

  • Competencies of exceptional and nonexceptional software engineers

    Richard T. Turley;James M. Bieman

  • Testing scientific software: A systematic literature review

    Upulee Kanewala;James M. Bieman

  • Design patterns and change proneness: an examination of five evolving systems

    J.M. Bieman;G. Straw;H. Wang;P.W. Munger

  • The relationship between test coverage and reliability

    Y.K. Malaiya;Naixin Li;J. Bieman;R. Karcich

  • A philosophy for software measurement

    A. L. Baker;J. M. Bieman;N. Fenton;D. A. Gustafson

  • Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels

    Upulee Kanewala;James M. Bieman;Asa Ben-Hur

  • Understanding change-proneness in OO software through visualization

    J.M. Bieman;A.A. Andrews;H.J. Yang

  • A mathematical perspective for software measures research

    Austin C. Melton;David A. Gustafson;James M. Bieman;Albert L. Baker

  • How Software Designs Decay: A Pilot Study of Pattern Evolution

    C. Izurieta;J.M. Bieman

  • Software architecture classification for estimating the cost of COTS integration

    Daniil Yakimovich;James M. Bieman;Victor R. Basili

  • Using machine learning techniques to detect metamorphic relations for programs without test oracles

    Upulee Kanewala;James M. Bieman

  • How Software Designs Decay: A Pilot Study of Pattern Evolution

    Unknown

  • Model Composition Directives

    Greg Straw;Geri Georg;Eunjee Song;Sudipto Ghosh

Frequent Co-Authors

Norman Fenton
Norman Fenton Queen Mary University of London
Jan Jürjens
Jan Jürjens University of Koblenz and Landau
Betty H. C. Cheng
Betty H. C. Cheng Michigan State University
Lars Eisen
Lars Eisen Centers for Disease Control and Prevention
Pradip K. Srimani
Pradip K. Srimani Clemson University
Yashwant K. Malaiya
Yashwant K. Malaiya Colorado State University
Jeff Offutt
Jeff Offutt George Mason University
Asa Ben-Hur
Asa Ben-Hur Colorado State University
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Victor R. Basili
Victor R. Basili University of Maryland, College Park

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