IA159 Formal Verification Methods

Faculty of Informatics
Spring 2008
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Jan Strejček, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: prof. RNDr. Jan Strejček, Ph.D.
Timetable
Thu 10:00–11:50 B411
Prerequisites
IA006 Automata theory
It is recommended to attend courses IA040 and IV113 before registering this course.
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 / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
Formal verification aims to verify correctness or improve reliability of software and hardware systems. The course introduces current methods of formal verification (model checking methods, reachability analysis, abstract interpretations, and theorem proving), from theoretical principles to practical tools. The course also mentions basic specification and modeling formalisms, specific aspects of hardware and software verification, position of formal verification in system development process, etc.
Syllabus
  • Models of systems
  • Formal specification of program properties (modal and temporal logics)
  • Automatic verification - reachability analysis, symbolic and explicit model checking, equivalence checking
  • Deductive verification methods (theorem proving)
  • Software testing
  • Program analysis, abstraction, abstract interpretation
  • Counter-example guided abstraction refinement
  • Combining formal methods, SW tools BLAST, SPEC etc.
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
  • Model-Based Testing, http://www.goldpractices.com/practices/mbt/
  • David Schmidt: Abstract interpretation and static analysis, http://www.cis.ksu.edu/santos/schmidt/Escuela03/home.html
Language of instruction
English
Further comments (probably available only in Czech)
The course is taught annually.
The course is also listed under the following terms Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Spring 2008, recent)
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