Thursday, February 23, 2017

Week 21: 2/14/2017 - 2/22/2017

Work Accomplished
This past week I helped edit Alyssa's lightning talk slide show for our poster presentation at OCWiC 2017 this weekend. Alyssa will be presenting the poster and slide about our Stack Overflow study for this year's CREU project (I will be presenting another poster/slide, see previous blog post).  I also made final edits, created an author bio for myself, and wrote an acknowledgements paragraph for the paper (On Predicting Developer Expertise from Eye Gazes for Bug Fix Tasks) that was accepted to The Honors College at YSU's Academic Journal called The Emperor. This paper describes the analysis and results of the prediction experiments we performed in last year's CREU project. Finally, I was able to re-run the ABB eye-tracking data on the new fixation filter producing much more accurate fixation results.

Goal
Weekly goal(s) - In the next week, I will be presenting a poster at OCWiC 2017 and transitioning from the ABB sequential analyses project back to the Stack Overflow project Alyssa has been working on. I plan to aide her and Dr. Lazar in selecting and running the correct data analyses for the data Ali collected last semester.  I hope to learn more about the inner workings of the data analyses we select and their appropriate uses.
Long-term goal(s) - Continue working on the ABB sequential analyses project goal (see previous blog post), but outside of CREU working time. For the Stack Overflow project, I plan to select and perform data analyses appropriate for answering the following research questions:
  1. To what degree do programmers focus on key words that extraction techniques generate?
  2. To what degree do the top n keywords from our approach and the standard approach match our Oracle generated keywords?
  3. What are the best machine learning algorithms (informed by eye gaze) that can be successfully used to make predictions?
Outcome(s)
  1. Alyssa's lightning talk for OCWiC 2017 was edited and submitted
  2. ABB eye-tracking data re-run on the new fixation filter; much more accurate results
  3. Final submission for publication of On Predicting Developer Expertise from Eye Gazes for Bug Fix Tasks in YSU's Honors College journal, The Emperor

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