| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2022W |
| Ziele |
(*)The students understand the fundamental concepts of explicit and symbolic model checking techniques and know how to apply them for verification tasks. They are familiar with the algorithmic aspects of explicit model checking and are able to implement basic model checking approaches.
|
| Lehrinhalte |
(*)Same as corresponding lecture:
- formal models in computer science
- finite state machines
- equivalence checking
- conformance checking
- predicate abstraction
- (bi-)simulation
- automata minimization
- explicit vs. symbolic representation of systems
- reachability analysis
- optimizing search with hashing
- partial order reduction
- liveness and fairness
- combinatorial logic
- AIGs
- BDDs
|
| Beurteilungskriterien |
(*)Exam plus practical projects (together with lecture).
|
| Lehrmethoden |
(*)Student projects.
|
| Abhaltungssprache |
Englisch |
| Literatur |
(*)Slides.
Handbook of Model Checking, Edmund M. Clarke, Thomas A. Henzinger, Helmut Veith, Roderick Bloem editors, Springer 2018.
|
| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)http://fmv.jku.at/mc
|
| Äquivalenzen |
(*)in collaboration with 921COENMCHV21: VL Model Checking (3 ECTS) equivalent to
921COENMCHK13: KV Model Checking (4.5 ECTS)
|
