2023-2024 / INFO0060-1

Introduction to computer systems verification

Duration

20h Th, 20h Pr, 20h Proj.

Number of credits

 Master of Science (MSc) in Computer Science and Engineering5 crédits 
 Master of Science (MSc) in Computer Science5 crédits 

Lecturer

Bernard Boigelot, Pascal Fontaine

Coordinator

N...

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course includes two parts. The first deals with the algorithmic verification of concurrent systems. It covers state-space exploration techniques, and their use for checking temporal logic formulas using "model checking". This topic is dealt with using finite automata on infinite words, to which an introduction is given. Symbolic verification methods and techniques for dealing with infinite-state systems are also presented.

The second part of the course focuses on deductive verification, starting with a brief reminder of propositional satisfiability checking. On this basis, satisfiability modulo theories (SMT) and techniques for combination of theories are introduced. A few major decidable fragments (quantifier-free first-order logic, linear arithmetic on integers and reals) are considered together with suitable decision procedures for usage in SMT solving. Quantifier handling methods in SMT are presented. Finally, some hands-on experience with deductive verification techniques is given using an available SMT based verification platform.

Learning outcomes of the learning unit

Introducing the theoretical and algorithmic foundations of the verification of concurrent systems.

Prerequisite knowledge and skills

Basic knowledge of concurrent programming (INFO9012-1), basic knowledge of formal logic (INFO9015-1).

Planned learning activities and teaching methods

Use of verification systems.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Recommended or required readings

Available on the course web page.

Exam(s) in session

Any session

- In-person

oral exam

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Teachers:
Bernard Boigelot, Pascal Fontaine

 

Association of one or more MOOCs