Software Analytics 2017/18 kevad

Lectures

The first lecture takes place on Monday, 12 Feb 2018

Time: Mon. 10.15-12.00 weeks 24, 26, 28, 30, 32, 34, 36, 38 Room: J. Liivi 2 - 122

• Lecture 1: Course introduction
  • Lecture slides: Slides1
  • Quiz 0 - Background knowledge
• Lecture 2: Systematic literature reviews, mapping studies, and questionnaire-based surveys
  • Lecture slides: Slides2
  • SLR Protocol Example
  • Quiz 1 - Course introduction
• Lecture 3: Case study research
  • Lecture slides: Slides3
  • Guidelines for Case Study Research in SE (open access article)
  • Quiz 2 - Survey research
• Lecture 4: Controlled experiments and Statistical Process Control (SPC)
  • Lecture slides: Slides4
  • Introduction to statistics Link
  • Introduction to Analysis of Variance (ANOVA) for various experimental designs Link
  • In-class Exercise:
    • Checklist for assessing the quality of papers reporting experiments.
    • Paper for the in-class exercise.
  • Readings/Materials:
    • A series of short papers on designing good experiments by Pfleeger and Kitchenham:
      • Part1, Part2, Part3, Part4, Part5
  • Quiz 3 - Case study research
• Lecture 5: Knowledge discovery 1: data selection and data pre-processing
  • Lecture slides: Slides5
  • Quiz 4 - Experiments and SPC
• Lecture 6: Knowledge discovery 2: data transformation and data mining
  • Lecture slides: Slides6
  • Quiz 5
• Lecture 7: Knowledge discovery 3: evaluation and interpretation
  • Lecture slides: Slides7
  • Quiz 6
• Lecture 8: Project presentations and exam preparation
  • Quiz 7
  • Project presentations:
    • Hina Anwar: "Analyzing the impact of refactoring code smells on the power consumption of android apps"
    • Faiz Shah: "App Features Extraction from User Reviews - An Extension to the SAFE Approach"
  • Exam preparation: Slides8