FI:IA159 Formal Verification Methods - Course Information

IA159 Formal Verification Methods

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
Supplier department: Department of Computer Science – Faculty of Informatics

Timetable

Thu 12:00–13:50 B410

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 / plans the course is directly associated with

• Applied Informatics (programme FI, N-AP)
• Information Technology Security (eng.) (programme FI, N-IN)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics (programme FI, N-AP)
• Information Systems (programme FI, N-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Systems (programme FI, N-IN)
• Embedded Systems (eng.) (programme FI, N-IN)
• Embedded Systems (programme FI, N-IN)
• Service Science, Management and Engineering (eng.) (programme FI, N-AP)
• Service Science, Management and Engineering (programme FI, N-AP)
• Social Informatics (programme FI, B-AP)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Image Processing (programme FI, N-AP)

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

Study Materials
The course is taught annually.

• Enrolment Statistics (Spring 2018, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2018/IA159