COMPX529-19B (HAM)

Engineering Self-Adaptive Systems

15 Points

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Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences
Department of Computer Science


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Paper Description

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Software needs to manage itself to fullfill dynamic requirements in a changing environment. Self-adaptive software is currently employed in clouds, networks, IoT, autonomous robots, etc. Adaptation challenges include self-configuration, self-optimization, self-healing and selfprotection.
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Paper Structure

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The paper is planned to be taught via lectures, tutorials, an individual assignment, a group project and readings from the textbook and recommended texts. The students are also expected to research material independently using the library resources of the university.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Construct controllers and identify a system's transfer function
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  • Identify application areas for self-adaptive software
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  • Explain the six waves summarizing the progress of the field
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  • Provide formal guarantees on the stability, convergence and performance of controllers
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  • Conduct a compact literature review on a specific problem
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  • Tackle a larger problem by designing, implementing and testing a self-adaptive solution
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  • Learn the basics of control theory
    Linked to the following assessments:
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The paper will be assessed by an individual assignment; an individual learning bundle/notes including summaries of research papers; and a group project. To succeed:

  • Basics to succeed (C- to C+): engage yourself
    • Prepare sessions (bundle!)
    • Actively participate in the sessions
    • Carry out the given tasks (bundle!)
    • Your group project and report abides by software engineering quality standards
  • If you want higher grades (B- to B+): reflect
    • Critically reflect on what you are doing (bundle!)
    • Your group project and report replicates published work
  • If you want even higher grades (A- to A+): take initiative and show insight
    • Profound critical reflections (bundle!)
    • Go beyond what has been presented to you/asked from you during the sessions (bundle!)
    • Your group project and report is of sufficient quality to be publishable in a suitable academic venue
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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Individual Assessment
Sum of All
2. Individual Assignment
  • Online: Submit through Moodle
3. Individual Bundle, Research Papers Summary and Oral Test
  • Online: Submit through Moodle
  • Presentation: In Lab
4. Group Assessment
Sum of All
5. Group Project Proposal
13 Sep 2019
6:00 PM
  • Online: Submit through Moodle
6. Group Project Code
  • Online: Submit through Moodle
7. Group Project Report
  • Online: Submit through Moodle
8. Group Project Presentation
  • Presentation: In Class
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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Janert, Philipp K. Feedback control for computer systems: introducing control theory to enterprise programmers. " O'Reilly Media, Inc.", 2013.

Weyns, Danny. "Engineering Self-Adaptive Software Systems–An Organized Tour." 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS* W). IEEE, 2018.

Kephart, Jeffrey O., and David M. Chess. "The vision of autonomic computing." Computer 1 (2003): 41-50.

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Recommended Readings

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Research papers published in the last three years at SASO, ICAC, SEAMS and TAAS

Bourque, Pierre, and Richard E. Fairley. Guide to the software engineering body of knowledge (SWEBOK (R)): Version 3.0. IEEE Computer Society Press, 2014.

Beyer, Betsy, et al. Site Reliability Engineering: How Google Runs Production Systems. " O'Reilly Media, Inc.", 2016.

Gregg, Brendan. Systems performance: enterprise and the cloud. Pearson Education, 2014.

Molyneaux, Ian. The Art of Application Performance Testing: From Strategy to Tools. " O'Reilly Media, Inc.", 2014.

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Other Resources

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Online Support

Edit Online Support Content Students are expected to access course material and notices via Moodle. There will also be a discussion forum hosted online.
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Students should expect to spend about 13 hours per week on this paper for those who are well prepared and competent.
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Linkages to Other Papers

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Prerequisite papers: (COMPX341 or COMPX203 or COMP200) and (MATHS203 or ENGEN301)




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