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Computer Science

D-Index
80
Citations
27419
World Ranking
1074
National Ranking
577

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to data science in software engineering, research and practice
  • 2017 - ACM Distinguished Member
  • 2013 - ACM Senior Member

Overview

Thomas Zimmermann is a researcher affiliated with Microsoft in the United States. Their work primarily focuses on computer science, with a detailed emphasis on information systems, computer science applications, computer networks and communications, civil and structural engineering, and information systems and management.

Their main research topics encompass software engineering techniques and practices, software engineering research, software system performance and reliability, open source software innovations, scientific computing and data management, usability and user interface design, and personal information management and user behavior.

Zimmermann has contributed to a variety of publication venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Software
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Software Engineering

Some of their recent papers include:

  • "A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic" (2021, ACM Transactions on Software Engineering and Methodology)
  • "Taking Flight with Copilot" (2022, Queue)
  • "The SPACE of Developer Productivity" (2021, Queue)
  • "Accessibility in Software Practice: A Practitioner's Perspective" (2022, ACM Transactions on Software Engineering and Methodology)
  • "Practitioners' expectations on automated code comment generation" (2022, Proceedings of the 44th International Conference on Software Engineering)

Frequent collaborators in Zimmermann's research include Denae Ford, Christian Bird, Nicole Forsgren, Margaret-Anne Storey, and Jenna Butler.

Recognition for their work includes awards such as:

  • IEEE Fellow (2021) for contributions to data science in software engineering, research and practice
  • ACM Distinguished Member (2017)
  • ACM Senior Member (2013)

Best Publications

  • Mining version histories to guide software changes

    T. Zimmermann;A. Zeller;P. Weissgerber;S. Diehl

  • When do changes induce fixes

    Jacek Śliwerski;Thomas Zimmermann;Andreas Zeller

  • Software engineering for machine learning: a case study

    Saleema Amershi;Andrew Begel;Christian Bird;Robert DeLine

  • Predicting Defects for Eclipse

    Thomas Zimmermann;Rahul Premraj;Andreas Zeller

  • Cross-project defect prediction: a large scale experiment on data vs. domain vs. process

    Thomas Zimmermann;Nachiappan Nagappan;Harald Gall;Emanuel Giger

  • What makes a good bug report

    Nicolas Bettenburg;Sascha Just;Adrian Schröter;Cathrin Weiss

  • Mining version histories to guide software changes

    T. Zimmermann;P. Weibgerber;S. Diehl;A. Zeller

  • Predicting defects using network analysis on dependency graphs

    Thomas Zimmermann;Nachiappan Nagappan

  • Predicting Faults from Cached History

    Sunghun Kim;T. Zimmermann;E.J. Whitehead;A. Zeller

  • Improving bug triage with bug tossing graphs

    Gaeul Jeong;Sunghun Kim;Thomas Zimmermann

  • Recommendation Systems for Software Engineering

    Martin Robillard;Robert Walker;Thomas Zimmermann

  • 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

  • Predicting vulnerable software components

    Stephan Neuhaus;Thomas Zimmermann;Christian Holler;Andreas Zeller

  • How Long Will It Take to Fix This Bug

    Cathrin Weiss;Rahul Premraj;Thomas Zimmermann;Andreas Zeller

  • DynaMine: finding common error patterns by mining software revision histories

    Benjamin Livshits;Thomas Zimmermann

  • Automatic Identification of Bug-Introducing Changes

    Sunghun Kim;T. Zimmermann;Kai Pan;E.J. Whitehead

  • What Makes a Good Bug Report

    Thomas Zimmermann;Rahul Premraj;Nicolas Bettenburg;Sascha Just

  • Duplicate bug reports considered harmful … really?

    N. Bettenburg;R. Premraj;T. Zimmermann;Sunghun Kim

  • Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows

    Philip J. Guo;Thomas Zimmermann;Nachiappan Nagappan;Brendan Murphy

  • Do Crosscutting Concerns Cause Defects

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

  • When do changes induce fixes? On Fridays

    Jacek Sliwerski;Thomas Zimmermann;Andreas Zeller

  • Predicting faults from cached history

    Sunghun Kim;Thomas Zimmermann;E. James Whitehead;Andreas Zeller

Frequent Co-Authors

Christian Bird
Christian Bird Microsoft (United States)
Nachiappan Nagappan
Nachiappan Nagappan Facebook (United States)
Andreas Zeller
Andreas Zeller Saarland University
Andrew Begel
Andrew Begel Carnegie Mellon University
Brendan Murphy
Brendan Murphy Microsoft (United States)
Tim Menzies
Tim Menzies North Carolina State University
Sunghun Kim
Sunghun Kim Hong Kong University of Science and Technology
Robert DeLine
Robert DeLine Microsoft (United States)
Miryung Kim
Miryung Kim University of California, Los Angeles
Emerson Murphy-Hill
Emerson Murphy-Hill Google (United States)

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