World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8500
World Ranking
7942
National Ranking
319

Overview

Abram Hindle is affiliated with the University of Alberta in Canada. Their research spans across multiple fields primarily within computer science and medicine, reflecting an interdisciplinary approach. The main fields of study include Computer Science and Medicine, with significant contributions in subfields such as Cardiology and Cardiovascular Medicine, Information Systems, Artificial Intelligence, Software, and Computer Networks and Communications.

The scientist's work covers a wide range of topics, notably:

  • ECG Monitoring and Analysis
  • Software Engineering Research
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • EEG and Brain-Computer Interfaces
  • Machine Learning in Healthcare
  • Heart Rate Variability and Autonomic Control

Recent publications by Abram Hindle demonstrate a focus on machine learning applications in healthcare technology and software engineering, with representative examples including:

  • "What Causes Wrong Sentiment Classifications of Game Reviews?" published in IEEE Transactions on Games in 2021
  • "Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms" published in npj Digital Medicine in 2023
  • "Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level" published in npj Digital Medicine in 2024
  • "How are issue reports discussed in Gitter chat rooms?" published in Journal of Systems and Software in 2020
  • "Analyzing Techniques for Duplicate Question Detection on Q&A Websites for Game Developers" published in Empirical Software Engineering in 2022

Frequent co-authors collaborating with Abram Hindle include:

  • Sunil V. Kalmady
  • Padma Kaul
  • Russell Greiner
  • Nariman Sepehrvand
  • Weijie Sun

The scholar's publishing history is evident in several venues, particularly:

  • arXiv (Cornell University)
  • Empirical Software Engineering
  • npj Digital Medicine
  • Canadian Journal of Cardiology
  • Computing in Cardiology

Best Publications

  • Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data

    Joshua Charles Campbell;Abram Hindle;Eleni Stroulia

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Mark Gabel;Zhendong Su

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Zhendong Su;Mark Gabel

  • What do large commits tell us?: a taxonomical study of large commits

    Abram Hindle;Daniel M. German;Ric Holt

  • A simpler model of software readability

    Daryl Posnett;Abram Hindle;Premkumar Devanbu

  • What Do Programmers Know about Software Energy Consumption

    Candy Pang;Abram Hindle;Bram Adams;Ahmed E. Hassan

  • GreenMiner: a hardware based mining software repositories software energy consumption framework

    Abram Hindle;Alex Wilson;Kent Rasmussen;E. Jed Barlow

  • Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs

    Dan Han;Chenlei Zhang;Xiaochao Fan;Abram Hindle

  • Automatic classication of large changes into maintenance categories

    Abram Hindle;Daniel M. German;Michael W. Godfrey;Richard C. Holt

  • Energy profiles of Java collections classes

    Samir Hasan;Zachary King;Munawar Hafiz;Mohammed Sayagh

  • On the Personality Traits of StackOverflow Users

    Blerina Bazelli;Abram Hindle;Eleni Stroulia

  • A contextual approach towards more accurate duplicate bug report detection

    Anahita Alipour;Abram Hindle;Eleni Stroulia

  • BugCache for inspections: hit or miss?

    Foyzur Rahman;Daryl Posnett;Abram Hindle;Earl Barr

  • What's hot and what's not: Windowed developer topic analysis

    Abram Hindle;Michael W. Godfrey;Richard C. Holt

  • Software bertillonage: finding the provenance of an entity

    Julius Davies;Daniel M. German;Michael W. Godfrey;Abram Hindle

  • VISUALIZING THE EVOLUTION OF SOFTWARE USING SOFTCHANGE

    Daniel M. German;Abram Hindle

  • On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems

    Md. Sharif Uddin;Chanchal K. Roy;Kevin A. Schneider;Abram Hindle

  • Automated topic naming to support cross-project analysis of software maintenance activities

    Abram Hindle;Neil A. Ernst;Michael W. Godfrey;John Mylopoulos

  • Green mining: a methodology of relating software change and configuration to power consumption

    Abram Hindle

  • Syntax errors just aren't natural: improving error reporting with language models

    Joshua Charles Campbell;Abram Hindle;José Nelson Amaral

  • Green mining: a methodology of relating software change to power consumption

    Abram Hindle

Frequent Co-Authors

Eleni Stroulia
Eleni Stroulia University of Alberta
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Daniel M. German
Daniel M. German University of Victoria
Richard C. Holt
Richard C. Holt De Montfort University
Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Bram Adams
Bram Adams Queen's University
Russell Greiner
Russell Greiner University of Alberta
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Christian Bird
Christian Bird Microsoft (United States)
Yasutaka Kamei
Yasutaka Kamei Kyushu University

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