First, a supervised dataset consisting of case logs and applicable target issue categories was built. This step is primarily because supervised ML techniques offer straightforward experimentation paths and ease of evaluation due to the availability of ground truth.
The dataset generation task is broken down into two subtasks:
- Derivation of the standardized issue taxonomy
- Building of supervised training dataset.
