Seeking participants for a recommendation tool(bug report assignment) study
My name is Disha Devaiya. I am a computer science graduate student at the
University of Lethbridge in Canada. I am here to invite you to participate
in a research study about a tool for creating a recommender that will help
with bug report assignment.
We are looking for 30 experienced software developers, bug triggers or
quality assurance persons to participate in the study. A candidate must
have more than 3 years of experience in software development or bug
triaging or quality assurance. The research is scheduled to be open from
March 25, 2019 to April 7, 2019. By completing this research study, you
will have a chance to win a $25 CAD Amazon gift card (odds of winning are 1
in 5). At the end of the survey, you’ll be asked to give your email address
to enter the draw.
Participation in the study involves three parts:
1. Completing an initial survey asking about prior experience. This
portion is expected to take 5 minutes.
2. Participants will work with a CASTR tool. Participants will be asked
to create recommenders with different settings and different machine
learning algorithms. This activity is expected to take a maximum of 1 hour.
3. The last part involves completion of a post survey questionnaire
expected to take 15 minutes.
Your participation in the study will require the use of a laptop or desktop
computer with internet access. The study is not designed to be done on a
mobile device. You can withdraw from the study at any time.
If you are interested in participating, contact Disha Devaiya (
[hidden email]) with the details of your work experience like open
source projects you worked on, and technologies. The selected candidate
will receive an email to participate in the study with unique Study Id, the
detailed guideline to create recommenders using CASTR and survey link.
Thank you for your time. If you would like more information about the
survey or how the data will be used, please contact [hidden email].
This research has been reviewed for ethical acceptability and approved by
the University of Lethbridge Human Subject Research Committee.