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PhD Programme
ITU  /  Research  /  PhD Programme  /  Courses  /  2024  /  January  /  Program Verification
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    Program Verification

    January 31st - June 30th, 2024

    Organizer(s)
    Jesper Bengtson (Associate Professor, course lead),
    Willard Rafnsson (Assistant Professor)

    Lecturer(s)
    Jesper Bengtson, Willard Rafnsson

    Course advertisement
    https://learnit.itu.dk/local/coursebase/view.php?ciid=1175

    Dates of the course

    2024-01-31 – 2024-06-30

    Time
    12-14 (lectures) 14-16 (exercises)

    Room
    2F14

    Course description
    This is a hands-on course that teaches you how to prove that programs are correct. You will get in-depth
    experience with tools for this task, as well as an understanding of the theory behind them. This course
    thus equips you to pursue a career in writing safety-critical systems, or in pursuing higher studies in this
    area.

    You will predominately be working with two industry-grade tools for program verification in this course
    -- Coq and Frama-C.

    The course culminates with a one-month project. As a PhD student you are expected to find a piece of
    software or a theorem that ties into your thesis work to a significant degree and that you want to prove
    correct using Coq and/or Frama-C. Ideally this project should lay the foundations for a publication.

    Intended Learning Outcomes
    Characterise recent developments in programming languages and verification technology
    Create programs and their specifications using Coq and Frama-C
    Construct interactive proofs that show that programs follow their specifications
    Compare models of programs with their real-life counterparts
    Assess accuracy of models and make precise what impact any imprecisions have on any proofs made
    Apply and reflect on theories for modelling, analyzing and constructing programs, specifications, and
    their proofs of correctness
    Relate automated and interactive proof assistants and make precise the advantages and disadvantages of
    both types of systems

    Reading list
    Software Foundations Volume 1, Chapters Logical Foundations (Benjamin C. Pierce et al.)
    HYPERLINK "https://softwarefoundations.cis.upenn.edu/lf-current/index.html" https://
    softwarefoundations.cis.upenn.edu/lf-current/index.html

    Software Foundations Volume 3, Verified Functional Algorithms (Andrew W. Appel)
    HYPERLINK "https://softwarefoundations.cis.upenn.edu/vfa-current/index.html" https://
    softwarefoundations.cis.upenn.edu/vfa-current/index.html

    The Frama-C user manual (exact parts TBD)
    HYPERLINK “https://frama-c.com/download/frama-c-user-manual.pdf”

    The Why3 Platform (exact parts TBD) (François Bobot et al.)
    HYPERLINK "http://why3.lri.fr/doc/" http://why3.lri.fr/doc/

    Programme:
    This course is offered to regular students, and to PhD students. This is the second time this course has its
    own elective but I have taught it for the past ten years as part of other courses, and frequently for PhD
    students from ITU, DTU and KU. It was given as a PhD course in 2022.
    Regardless of student level this is a difficult course with a heavy focus on logics and mathematics. It is
    not likely that students have come across large parts of the curriculum or the tools that we use (Coq and
    Frama-C) before, so joint lectures make sense. The level of the mathematics required depends heavily on
    what type of software it is you want to prove correct. The weekly exercises in the reading material are
    substantial and can be trimmed to fit the level of the student.

    The level of the course largely depends on the application of the curriculum and the tools we use. PhD
    students will leverage their previous degrees to formalise more advanced mathematics, and prove
    correctness of more complicated programs, than the other students. For PhD students this means in
    practice that:

    They are not allowed to work in groups for the weekly assignment
    The weekly assignments are larger and cover a wider curriculum than for the other students in order to
    prepare them for more advanced projects.
    The mini-project requires that they verify a much more complicated data structure than the other students
    (red-black threes as opposed to binary search trees and/or insertion sort)
    Their final larger project must be relevant to their research. This means that, unless the students happen to
    work in the same research group, the projects must be individual. Regardless, the scope of the project
    scales with the number of participants.

    All lectures will have a 15-minute break. Exercise sessions allow students to take breaks as required.

    Wednesday 2024-01-31: Basics/Induction
    Wednesday 2024-02-07: Polymorphism and higher-order functions (weekly assignment 1)
    Wednesday 2024-02-14: Logic in Coq (weekly assignment 2)
    Wednesday 2024-02-21: Inductively Defined Propositions (weekly assignment 3)
    Wednesday 2024-02-28: Induction Principles (weekly assignment 4)
    Wednesday 2024-03-06: Curry-Howard and program extraction (weekly assignment 5)

    mini-project start, (Software Foundations Volume 3)
    Regular students: Insertion sort and/or binary search trees
    PhD students: red-black trees

    Wednesday 2024-03-13: Big-step operational semantics and Hoare Logic
    Wednesday 2024-03-20: Automated proof assistants
    Wednesday 2024-03-27: Frama-C: Verifying imperative programs (mini-project submission)
    Wednesday 2024-04-03: Spring break
    Wednesday 2024-04-10: The Why3 Platform (weekly submission 6)
    Wednesday 2024-04-17: Project (weekly submission 7)

    Project start
    Wednesday 2024-04-23: Project
    Wednesday 2024-04-30: Project
    Wednesday 2024-05-8: Project
    Wednesday 2024-05-15: Project

    Project submission deadlines: The other students have mid may, with PhD students we want to be a bit more
    flexible and not have a firm deadline.

    Prerequisites
    Functional Programming
    Discrete Mathematics
    Algorithms and Data Structures

    Exam
    Project connected to their PhD thesis (most likely individual unless students come from the same research
    group)

    Credits
    7.5 ECTS (pass/fail)

    Most of this course is project work and weekly submissions. By increasing their difficulty considerably,
    we have effectively increased the difficulty of the course as a whole, to fit the level of a PhD course.

    Amount of hours the student is expected to use on the course
    Preparation for lectures: 10h
    Lectures: 20h
    Exercise sessions: 20h
    Weekly Exercises (outside exercise sessions): 54h
    Mini project: 30h
    Main Project: 60h
    Exam preparation: 10h

    How to sign up
    Please write an email to Jesper Bengtson at jebe@itu.dk.

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