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  Ko, Andrew J. Add to Alert Profile  
 
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  A practical guide to controlled experiments of software engineering tools with human participants
Ko A., LaToza T., Burnett M. Empirical Software Engineering 20(1): 110-141, 2015.  Type: Article

Software engineering (SE) is, by its nature, empirical and interdisciplinary. A brief reflection on the software engineering life cycle identifies numerous activities, having varied interactions, that require challenging choices: for e...
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May 21 2015  
  Interactive record/replay for web application debugging
Burg B., Bailey R., Ko A., Ernst M.  UIST 2013 (Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, St. Andrews, Scotland, UK, Oct 8-11, 2013) 473-484, 2013.  Type: Proceedings

Record/replay has been the main technique used for debugging hard-to-fix bugs. While most solutions provide a basic VCR-like user interface, the Timelapse debugging system in the Dolos infrastructure, introduced in this work, provides ...
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Apr 30 2014  
  Debugging reinvented: asking and answering why and why not questions about program behavior
Ko A., Myers B.  ICSE 2008 (Proceedings of the 30th International Conference on Software Engineering, Leipzig, Germany, May 10-18, 2008) 301-310, 2008.  Type: Proceedings

Are we witnessing the birth of a new interaction paradigm that is not only for software debugging, but also for working with software in general?...
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Jun 26 2009  
  Eliciting design requirements for maintenance-oriented IDEs: a detailed study of corrective and perfective maintenance tasks
Ko A., Aung H., Myers B.  Software engineering (Proceedings of the 27th International Conference on Software Engineering, St. Louis, MO, May 15-21, 2005) 126-135, 2005.  Type: Proceedings

Do modern integrated development environments (IDEs) support the work of software maintenance well? To find out, ten experienced Java programmers were video recorded, for around 70 minutes, while they tackled five maintenance tasks on ...
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Feb 23 2007  
  Examining task engagement in sensor-based statistical models of human interruptibility
Fogarty J., Ko A., Aung H., Golden E., Tang K., Hudson S.  Human factors in computing systems (Proceeding of the SIGCHI Conference on Human Factors in Computing Systems, Portland, Oregon, Apr 2-7, 2005) 331-340, 2005.  Type: Proceedings

Interruptions and repeated demands while working with a computer can become really disruptive. Current applications (for example, communications tools) often tend to interrupt people during their daily work at inappropriate times, beca...
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Aug 7 2006  

   
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