Abstract
GitHub and Jira projects typically contain many issues and issue comments used to track project tasks and defects. An important class of issues that needs appropriate consideration is called “human-centric issues”. These issues relate to different human characteristics of end users that need to be identified, tracked and managed differently from traditional technical-related issues. Current management of these human-centric issues during defect management is limited. We introduce a novel dashboard – the (Human-centric Issue Visualiser – HCIV) that categorises and tags these HCIss. We built HCIV prototypes for the two platforms, GitHub and Jira. These tag issues and present them in various visual forms to software practitioners. Using the dashboard, human-centric issues can be prioritised and tracked, and machine learning-generated classifications can be overridden. To reflect these interactions, associated GitHub and Jira issue tags are updated while the user interacts with our dashboard. The user evaluations of our dashboard prototypes show their potential for human-centric issue management. A demo of the GitHub version of the tool being used can be viewed at https://youtu.be/v49aiRiDIPs, and the Jira version can be viewed at https://youtu.be/qQM72SErmqs.
| Original language | English |
|---|---|
| Article number | 20 |
| Number of pages | 30 |
| Journal | Automated Software Engineering |
| Volume | 33 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 18 Oct 2025 |
Keywords
- GitHub
- Human-centric issues
- Issue comments
- Visualisation
Projects
- 1 Finished
-
HCMDSE: Human-centric Model-driven Software Engineering
Grundy, J. (Primary Chief Investigator (PCI))
ARC - Australian Research Council
3/02/20 → 1/02/26
Project: Research
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