- 18.03.22: We are online.
- All lectures and exercise classes will be held in person.
- Recordings of the lectures will be made available via RWTHmoodle.
- Be aware that the contents of this lecture has slightly changed compared to past editions of this lecture (2018 or earlier). Thus, old recordings of the lecture are not fully compatible.
|Lecture||Mo||10:30 – 12:00||AH II||11.04.||Quatmann|
|Thu||12:30 – 14:00||AH II||07.04.||Quatmann|
|Exercise||Wed||16:30 – 18:00||AH V||20.04.||Spel / Bork|
- Starting at April 13, a new exercise sheet will be made available every Wednesday and can be handed in a week later (before the exercise class). Solving the exercises is not mandatory for participating in the exam, but we strongly encourage you to work on them over the course of the semester.
- The exercise sheets have to be solved in groups of 3-4 students and handed in digitally via RWTHmoodle. Please use the discussion board in RWTHmoodle to find group-mates.
- Sample solutions will be presented during the exercise class and made available via RWTHmoodle.
This data is tentative and may be subject to change.
Because model checking has evolved in the last twenty-five years into a widely used verification and debugging technique for both software and hardware.
It is used (and further developed) by companies and institutes such as IBM, Intel, NASA, Cadence, Microsoft, and Siemens, to mention a few, and has culminated in a series of mostly freely downloadable software tools that allow the automated verification of, for instance, C#-programs or combinational hardware circuits.
Subtle errors, for instance due to multi-threading, that remain undiscovered using simulation or peer reviewing can potentially be revealed using model checking. Model checking is thus an effective technique to expose potential design errors and improve software and hardware reliability.
But how does it work, that is, what are its underlying principles?
That’s exactly the focus of this lecture series!
We will show that model checking is based on well-known paradigms from automata theory, graph algorithms, logic, and data structures. Its complexity is analyzed using standard techniques from complexity theory.
Contents of the Lecture
Model checking is based on, well, checking models. So, we first start by explaining what models are, and will make clear that so-called labeled transition systems, a model that is akin to automata, are suitable for modeling sequential, as well as multi-threading programs.
This is followed by a detailed study on various classes of system properties such as safety, liveness, and fairness. It will be shown how finite automata as well as variants thereof that accept infinite words are suitable for verifying regular properties.
The linear-time and branching time temporal logics LTL and CTL are then introduced and compared. Model checking algorithms for these logics together with detailed complexity considerations are covered.
Finally, abstraction techniques based on bisimulation and simulation relations are covered. These techniques are at key techniques to combat the state explosion problem.
We expect students to have some basic knowledge in:
- Automata Theory
- Mathematical Logic
- Discrete Mathematics
- Complexity Theory
- Algorithms and Data Structures
The course book (see below) will contain a summary of the issues in these areas that are relevant to this lecture series. We believe that this course is also well-suited for students in electrical engineeering and mathematics.
The lectures and all materials are in english. The slides and Zoom recordings will be made available during the course.
The course is based on:
Principles of Model Checking
by Christel Baier and Joost-Pieter Katoen
MIT Press, 2008.
An errata document to the book may be found here.
It is possible to buy a book (about 40 euros), but there is no need to do so as there are various copies of the book available at the CS library.
The course will basically cover Chapters 1 through 7 (upto section 7.3).
- E.M. Clarke, O. Grumberg, D.A. Peled: Model Checking, MIT Press, 1999
- M. Huth and M.D. Ryan: Logic in Computer Science – Modelling and Reasoning about Systems, Cambridge University Press, 2nd edition, 2004
- K. Schneider: Verification of Reactive Systems, Springer-Verlag, Texts in Theoretical Computer Science. An EATCS Series, 2004
If you have questions regarding this lecture, contact us at email@example.com