IA159 Formal Verification Methods

Faculty of Informatics
Spring 2020
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Jan Strejček, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Jan Strejček, Ph.D.
Department of Computer Science - Faculty of Informatics
Supplier department: Department of Computer Science - Faculty of Informatics
Prerequisites (in Czech)
IV113 Validation and Verification || IA169 System Verif. and Assurance
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 48 fields of study the course is directly associated with, display
Course objectives
At the end of this course, students should understand and be able to explain principles, advantages, and disadvantages of selected methods from the area of formal verification, namely model checking methods, abstraction, static analysis via abstract interpretation, and shape analysis;
make reasoned decisions about suitability of various methods for verification of specific systems;
Learning outcomes
At the end of this course, students should understand and be able to explain principles, advantages, and disadvantages of selected methods from the area of formal verification, namely model checking methods, abstraction, static analysis via abstract interpretation, and shape analysis;
make reasoned decisions about suitability of various methods for verification of specific systems;
Syllabus
  • Overview of formal verification methods.
  • LTL model checking of finite and infinite-state systems including translation of LTL to Büchi automata and partial order reduction.
  • Abstraction.
  • Counterexample-guided abstraction refinement.
  • Static analysis, abstract interpretation.
  • Shape analysis.
  • Software verification via automata, symbolic execution, and interpolation.
Literature
  • PELED, Doron A. Software reliability methods. New York: Springer, 2001. xix, 331. ISBN 0387951067. info
  • GRUMBERG, Orna, Doron A. PELED and E. M. CLARKE. Model checking. Cambridge: MIT Press, 1999. xiv, 314. ISBN 0262032708. info
Teaching methods
lectures
Assessment methods
oral exam
Language of instruction
English
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019.
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