This week I presented the paper Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome. This was a research study done on inspectors during software life cycle; particularly inspectors of the requirements stage of a life cycle. This research focused in on how someone's background (particularly their learning styles) would affect their efficiency and effectiveness when searching for faults that will have negative effects on software later. We considered how learning styles might affect someone's ability to review code snippets and how we could apply their findings to our study. Another interesting concept from this paper was how they took data from the inspector's eye tracking and created the what they called virtual teams. They used average values and patterns to determine what groups of learning styles would work best together find faults. The outcome of this study concluded that the inspectors who had reading patterns that was in order, beginning to end, weren't very efficient. The best learning style was "sequential", as defined by "Felder Silverman Learning Style Model".
Also this week, I finished up and submitted the application to get funding for our ACM-W chapter. This would significantly help jump start our chapter and allow us to do some activities we have planned this school year. Our chapter is also working on recruitment in order to offset the loss of some of our group graduating this year. Finally, I took some time out this weekend to help moderate the hackathon our university sponsored. This was a fun event where I got a first-hand look at what takes place during these contests.
No comments:
Post a Comment