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)