Models and Metrics in Software Engineering 2011

Models and Metrics in Software Engineering 2011

Lectures:

1. Lecture1Intro, Git tutorial
2. Lecture2a, Lecture2b
3. Lecture3
4. Lecture4, Add1, Add2
5. Lecture6
6. Lecture7
7. Lecture8RLanguage, Lecture8PredictionModelsInR

Prediction Models (Mining Software Repositiories) – recommended resources:

1) Software evolution and defect prediction in Eclipse:

• Eclipse Bug Data
• Eclipse Burst Data: paper, dataset, ZIP (1216MB), LZMA format (389 MB)

2) Firefox and Thunderbird Crashes:

• Which Crashes Should I Fix First?: Predicting Top Crashes at an Early Stage to Prioritize Debugging Efforts
• Dataset

3) Comparison of Bug Prediction Approaches:
An Extensive Comparison of Bug Prediction Approaches
Evaluating defect prediction approaches: a benchmark and an extensive comparison
Dataset