At a glance... |
Syllabus |
Models |
Code |
Lecturer
- What're pylint, pytest, unittest?
- Why and when defect prediction are used?
- Why data mining static code attributes works for defect prediction?
- What's the limitation of within-project defect prediction?
- What's the assumption of data mining?
- Briefly explain the key idea of transfer learning for defect prediction(HDP paper).
- Why KS test not other statistical tests(e.g. t-test) is used in this transfer learning paper?
- Why feature(metric) selection is applied here?
- Do you think transfer learning for defect prediction is a promising technique? Why?
Copyright © 2015 Tim Menzies.
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