FI:IA169 System Verif. and Assurance - Course Information

IA169 System Verification and Assurance

Extent and Intensity

2/0/2. 4 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

prof. RNDr. Jiří Barnat, Ph.D. (lecturer)
RNDr. Marek Chalupa, Ph.D. (seminar tutor)
doc. RNDr. Vojtěch Řehák, Ph.D. (seminar tutor)
prof. RNDr. Václav Matyáš, M.Sc., Ph.D. (assistant)

Guaranteed by

prof. RNDr. Jiří Barnat, Ph.D.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics

Timetable

Wed 15. 9. to Wed 8. 12. Wed 16:00–17:50 D1

• Timetable of Seminar Groups:

IA169/Konzultace_k_DU: Mon 13. 9. to Mon 6. 12. Mon 16:00–17:50 A219, J. Barnat, V. Řehák

Prerequisites

(! IV113 Validation and Verification ) && (!NOW( IV113 Validation and Verification ))
User-level familiarity with Unix/Linux operating system. Basic programming skills (Python). Some degree of abstract math reasoning.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 130 student(s).
Current registration and enrolment status: enrolled: 1/130, only registered: 0/130, only registered with preference (fields directly associated with the programme): 0/130

fields of study / plans the course is directly associated with

there are 32 fields of study the course is directly associated with, display

Course objectives

The student will understand the necessary theoretic background as well as acquire hands-on experience with relevant tools for bug finding and formal verification techniques. Students will get acquainted with a number of concrete software verification tools for analysis of concurrent systems, real-time systems, hybrid systems, cryptographic systems, and systems with probabilities.

Learning outcomes

Students will:
be aware of fundaments of black-box testing;
understand priciples of deductive verification;
understand the theory and application of model checking;
have hand-on experince with a couple of verification tools.

Syllabus

• This course will provide the necessary theoretic background as well as hands-on experience with relevant tools for bug finding and formal verification techniques. The core topics of this course will include testing, symbolic execution, abstract interpretation, static analysis, theorem proving, automated formal verification as well as an introduction to model-based verification. Students will get acquainted with a number of concrete software verification tools for analysis of concurrent systems, real-time systems, hybrid systems, cryptographic systems, and systems with probabilities. An introductory insight into security standards like Common Criteria for Information Technology Security Evaluation and FIPS 140 shall be provided as well.

Literature

• GRUMBERG, Orna, Doron A. PELED and E. M. CLARKE. Model checking. Cambridge: MIT Press, 1999, xiv, 314. ISBN 0262032708. info

Teaching methods

lectures, homework assignments, readings

Assessment methods

Final (written) exam: 50%. Assignments: 50%.
Marking scheme: A for 85% or higher, then B for 80% or higher, then C for 75% or higher, then D for 70% or higher, then E for 65% or higher, then F(ail) for less than 65%.
Colloquy or credit – at least 65%.

Language of instruction

English

Follow-Up Courses

• IA159 Formal Methods for Software Analysis

Further Comments

Study Materials
The course is taught annually.

• Enrolment Statistics (Autumn 2021, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2021/IA169