World's Best Scientists 2026 revealed!
Tore Dybå

Tore Dybå

Award Badge
Computer Science
Norway
2026

D-Index & Metrics

Computer Science

D-Index
52
Citations
18549
World Ranking
4960
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Norway Leader Award
  • 2025 - Research.com Computer Science in Norway Leader Award
  • 2022 - Research.com Computer Science in Norway Leader Award

Overview

Tore Dybå is affiliated with SINTEF in Norway. The scientist has contributed to academic research primarily through their work at this institution.

There are no recorded recent papers, frequent co-authors, publication venues, book publications, main or subfields of study, main topics, or awards listed for Tore Dybå in the provided data.

The lack of detailed publication or research topic information limits the scope of this profile to the available affiliation detail.

Best Publications

  • Empirical studies of agile software development: A systematic review

    Tore Dybå;Torgeir Dingsøyr

  • Evidence-based software engineering

    Barbara A. Kitchenham;Tore Dyba;Magne Jorgensen

  • Recommended Steps for Thematic Synthesis in Software Engineering

    Daniela S. Cruzes;Tore Dyba

  • A teamwork model for understanding an agile team: A case study of a Scrum project

    Nils Brede Moe;Torgeir Dingsøyr;Tore Dybå

  • Evidence-based software engineering for practitioners

    T. Dyba;B.A. Kitchenham;M. Jorgensen

  • The Future of Empirical Methods in Software Engineering Research

    D.I.K. Sjoberg;T. Dyba;M. Jorgensen

  • Applying Systematic Reviews to Diverse Study Types: An Experience Report

    T. Dyba;T. Dingsoyr;G.K. Hanssen

  • Systematic review: A systematic review of effect size in software engineering experiments

    Vigdis By Kampenes;Tore Dybå;Jo E. Hannay;Dag I. K. Sjøberg

  • Research synthesis in software engineering

    Daniela S. Cruzes;Tore Dybå

  • Quantifying the Effect of Code Smells on Maintenance Effort

    D. I. K. Sjoberg;A. Yamashita;B. C. D. Anda;A. Mockus

  • An empirical investigation of the key factors for success in software process improvement

    T. Dyba

  • Evaluating Pair Programming with Respect to System Complexity and Programmer Expertise

    B. Arisholm;H. Gallis;T. Dyba;D.I.K. Sjoberg

  • A systematic review of statistical power in software engineering experiments

    Tore Dybå;Tore Dybå;Vigdis By Kampenes;Dag I.K. Sjøberg

  • What Do We Know about Agile Software Development

    T. Dyba;T. Dingsoyr

  • Strength of evidence in systematic reviews in software engineering

    Tore Dybå;Torgeir Dingsøyr

  • The effectiveness of pair programming: A meta-analysis

    Jo E. Hannay;Tore Dybå;Erik Arisholm;Dag I. K. Sjøberg

  • Building Theories in Software Engineering

    Dag I. K. Sjøberg;Tore Dybå;Bente Cecilie Dahlum Anda;Jo Erskine Hannay

  • Teamwork quality and project success in software development

    Yngve Lindsjørn;Dag I.K. Sjøberg;Torgeir Dingsøyr;Gunnar R. Bergersen

  • An Instrument for Measuring the Key Factors of Successin Software Process Improvement

    Tore Dyba

  • A Systematic Review of Theory Use in Software Engineering Experiments

    J.E. Hannay;D.I.K. Sjoberg;T. Dyba

  • Impact Analysis of Missing Values on the Prediction Accuracy of Analogy-based Software Effort Estimation Method AQUA

    Jingzhou Li;A. Al-Emran;G. Ruhe

Frequent Co-Authors

Dag I. K. Sjøberg
Dag I. K. Sjøberg University of Oslo
Torgeir Dingsøyr
Torgeir Dingsøyr Norwegian University of Science and Technology
Reidar Conradi
Reidar Conradi Norwegian University of Science and Technology
Barbara Kitchenham
Barbara Kitchenham Keele University
Magne Jørgensen
Magne Jørgensen Simula Research Laboratory
Martin Höst
Martin Höst Malmö University
Per Runeson
Per Runeson Lund University
David Budgen
David Budgen Durham University
Aybüke Aurum
Aybüke Aurum University of New South Wales

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