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hindle

Abram Hindle, PhD

Assistant Professor

Science

Computing Science

About Me

Education

  • Ph.D., University of Waterloo, David R. Cheriton School of Computer Science, 2010
    Co-supervisors: Prof. Michael W. Godfrey and Prof. Richard C. Holt Dissertation: Evidence-based Software Process Recovery
  • M.Sc., University of Victoria, Dept. of Computer Science, 2005
    Supervisor: Prof. Daniel M. German Dissertation: SCQL: A formal model and a query language for source control repositories

  • B.Sc. (Honours with distinction), University of Victoria, Faculty of Engineering, Dept. of Computer Science, 2003


Research

Area

Software Engineering

Interests

Software Engineering, Empirical Software Engineering, Mining Software Repositories, Power Consumption Analysis

Summary

The focus of my research is the evidence-based study of software development. My field of research depends upon statistics, data mining, social network analysis, machine learning, NLP, signal processing, visualization, and software engineering. With respect to software engineering my research focuses on empirical software engineering, mining software repositories, software development processes, software maintenance, and software metrics. Other interests include computer music, music information retrieval, computer vision, programming languages, and computer security.