We are doing a qualitative study on what information might be more useful to developers navigating a codebase to handle a bug report. We already have some participants but a few more would be welcome 😊
The study consists of a single session perparticipnat. Participants are asked to read some bug reports and extra information produced in advance by our bug localisation machine learning tool, and then think aloud about which code file(s) might need to be corrected, while navigating the software project. The aim of this research is to get an idea about which extra information might be more useful for locating bugs. Participants are not expected to find the buggy files. They will not write code to fix the bug. They will not install any tool or do any preparation task before the session. The session is expected to last between one hour and one hour and a half, scheduled at the participant's convenience. It can take place online through videoconference.
If you are interested in participating, please e-mail pablo.dia...@open.ac.uk and/or michel.we...@open.ac.uk and we will provide further information and answer any queries.
If you know of anyone who might help us, we’d appreciate if you could forward them this email.
Many thanks and kind regards,
Pablo Diaz Pedreira, Michel Wermelinger, Tamara Lopez, Yijun Yu
School of Computing & Communications
The Open University, UK