Skip to main content

Table 1 Overview of the 32 h course in which the experiment was undertaken

From: Assessing the benefits of search-based approaches when designing self-adaptive systems: a controlled experiment

Part Day Activity
Lectures 1 Self-adaptive systems foundations (motivation, MAPE-K
   reference architecture, current approaches, challenges)
  2 Feedback control introduction (control goals, control
   properties, fixed gain SISO approaches)
  3 Feedback control (MIMO and adaptive approaches)
  4 Self-adaptive systems - case studies
Exam and training 5 First hour: discussion
   Next 3 hours: Pen and paper exam
  6 First hour: exam discussion
   Next 3 hours: Training (DuSE-MT and architectural styles catalog)
Experiment 7 First 110 minutes: Tests #1 and #2
   Next 110 minutes: Tests #3 and #4
   Next 20 minutes: Tests #5 and #6 (questionnaire)
  8 First 110 minutes: Tests #7 and #8
   Next 110 minutes: Tests #9 and #10
   Next 20 minutes: Tests #11 and #12 (questionnaire)