Abram Hindle, PhD

About

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, Computer Music, Crossover of software engineering and music, ML on ECGs

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.

CMPUT 301 - Introduction to Software Engineering

Object-oriented design and analysis, with interactive applications as the primary example. Topics include: software process; revision control; Unified Modeling Language (UML); requirements; software architecture, design patterns, frameworks, design guidelines; unit testing; refactoring; software tools. Prerequisite: CMPUT 201 or CMPUT 275. Credit may be obtained in only one of CMPUT 301, BTM 419, or MIS 419.

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