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Advanced Topics in Software Engineering - Software testing

News

  • 29/03/2018 All the students that want to give this exams in the Academic Year 17/18, must send an email to the teacher!
  • 29/03/2018 No lecture today!
  • 07/03/2018 Lectures start!

General Information

Teacher:

  • Michele Loreti

Lessons schedule:

  • Wednesday, 11.00 - 13.00, Room AB1, Polo Lodovici;
  • Thursday, 11.00 - 13.00, Room AB1, Polo Lodovici.

Course Objectives

In the course various aspects of computer-aided modelling for performance evaluation of (stochastic) dynamic systems will be introduced. The emphasis is on stochastic modelling of computer systems and communication networks; however other dynamic systems such as Collective Adaptive Systems and Cyber Physical Systems will also be considered. Different tools and techniques will be introduced to predict (or monitoring) system performance at the different stages of development.

Course Contents

  1. Modelling and Simulation
  2. Operational Laws
  3. Constructing and Solving Markov Processes
  4. More Complex Markov Processes
  5. Queueing Networks
  6. Population Models
  7. Specification languages: Stochastic process Algebras
  8. Simulation Models: Introduction and Motivation
  9. Random Variables and Simulation
  10. Property specification
  11. Statistical Analysis of Systems
  12. Scalable analysis techniques
  13. Model Validation and Verification
  14. Parameterisation and Workload Characterisation
  15. Monitoring and Runtime Verification

Study Material

Course Slides

Lectures

Exams

Exam Dates

  • 26/06/2018, 9.00 (Teacher Office)
  • 10/07/2018, 9.00 (Teacher Office)

Exam rules: Each student select one of the following topics and produces a short report that will be presented at the exam:

  • Statistical Model Checking

Results

  • N/A