CSCI 625: Program Synthesis and Computer-Aided Verification

Spring 2024

Logistics

Classes: Mondays and Wednesdays, 3:30pm–5:20pm
DMC 209 · https://usc.zoom.us/j/93506992296
Note the Zoom classroom we will be using for class!
Piazza: https://piazza.com/usc/spring2024/csci625
Instructor: Mukund Raghothaman (raghotha@usc.edu)
Office hours: Mondays, 5:30pm–6:30pm, or by appointment

Course Description

This course is about the theory and practice of algorithmic program verification. We will discuss how programmers can prove that their code is correct, and how this process may be automated. We will study SAT and SMT solvers, and learn how to use them and how they work. These are sophisticated reasoning engines, and their use increasingly impacting other areas of computer science. We will see how they can be used to build automatic program synthesizers, which produce code that is correct-by-construction. [Syllabus]

Prerequisites: First, the course will expect a certain amount of mathematical maturity from its students, at least at the level of CSCI 170, and preferably at the level of CSCI 270. Second, we will be reasoning about code: we expect that the student will already be proficient in writing it.

Note: The syllabus and schedule listed on this webpage are tentative, and may be updated as the course progresses. Please check back regularly!

Grading

The course will consist of four homework assignments and an open-ended project, graded equally. The homework assignments are intended to develop familiarity with the material covered in class. In the project, you will apply and extend ideas from the course to a research problem of your choice. The project may be done either alone or in pairs. Please consult the instructor for feedback while choosing project topics.

Annonucements

Readings

  1. Daniel Kroening and Ofer Strichman. Decision Procedures: An Algorithmic Point of View. 2nd edition. Springer, 2016. From within USC, the book may be freely accessed at here, and supplementary material is available here.
  2. Sumit Gulwani, Oleksandr Polozov, and Rishabh Singh. Program Synthesis. Foundations and Trends in Programming Languages, 2017. Accessible from here.
  3. Michael Gordon. Background Reading on Hoare Logic. 2016. Accessible from here.
  4. Susan Horwitz. Abstract Interpretation. 2013. Accessible from here.
  5. Anders Møller and Michael Schwartzbach. Static Program Analysis. Department of Computer Science, Aarhus University. 2018. Accessible from here.

Schedule

Unit 1: Automatic Reasoning Engines

Jan 8 Course introduction, motivation, logistics
[Slides], [Recording]
Jan 10 Propositional logic, satisfiability and validity
[Notes], [Recording]
Jan 15 No class. Martin Luther King Jr. Day.
Jan 17 Basics of SAT solvers: DPLL and unit propagation. Solving 2-SAT in polynomial time
[Recording]
Jan 22 Conflict-Driven Clause Learning, branching heuristics
[Notes], [Recording]
Jan 24 Solving Horn-SAT and 2-SAT in polynomial time
[Recording]
Jan 29 Binary decision diagrams
[Slides by Sanjit Seshia], [Recording]
Jan 31 Introduction to Satisfiability Modulo Theories (SMT). Solvers for LRA, difference logic
[Recording]
Feb 5 Theory of equality, EUF, congruence closure
[Recording]
Feb 7 DPLL(T), the Nelson-Oppen procedure
[Recording]

Unit 2: Program Synthesis

Feb 12 Introduction to program synthesis
[Recording]
Feb 14 Counter-example guided inductive synthesis (CEGIS)
[Recording]
Feb 19 No class. President's Day.
Feb 21 Paper presentations! Jacqueline and Chenyu talked about QBF solvers, Paul talked about neural network verification, and Tooba and Yuzhou talked about model counting.
[Recording]
Feb 26 More paper presentations! Tooba and Yuzhou finished talking about model counting, and Sara and Matin talked about learning good decision heuristics.
[Recording]
Feb 28 The enumerative SyGuS solver
[Recording]
Mar 4 Prioritized search
[Recording]

Unit 3: Proof Techniques

Mar 6 Introduction to program verification
[Recording]
Mar 11 No class. Spring Break.
Mar 13 No class. Spring Break.
Mar 18 Paper presentations: Paul talked about jungloids, and Chenyu and Jacqueline presented Myth
[Recording]
Mar 20 More paper presentations: Tooba and Yuzhou talked about conflict-driven program search, and Matin and Sara talked about proving unrealizability
[Recording]
Mar 25 Introduction to Hoare logic
[Recording]
Mar 27 Hoare triples and proving properties of flowchart programs
[Recording]
Apr 1 Weakest preconditions, strongest postconditions
[Recording]
Apr 3 The Hoare rules
[Recording]
Apr 10 Automatic invariant inference
[Recording]
Apr 15 Proving program termination
[Recording]
Apr 17 Lots of presentations! Sara and Matin talked about CHC solving, Tooba and Chenyu talked about ICE learning, Yuzhou and Jacqueline talked about incorrectness logic, and Paul talked about using Farkas' Lemma for invariant generation
[Recording]
Apr 22 Disjunctive termination arguments
[Recording]

Apr 8 No class. Mukund traveling.

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Conclusion

Apr 24 Student project presentations

Policies

From Dornsife's academic conduct policy: Plagiarism—presenting someone else's ideas as your own, either verbatim or recast in your own words—is a serious academic offense with serious consequences. Please familiarize yourself with the discussion of plagiarism in SCampus in Part B, Section 11, "Behavior Violating University Standards." Other forms of academic dishonesty are equally unacceptable. See additional information in SCampus and university policies on scientific misconduct, here.

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Note on collaborative work: For collaborative projects, students are expected to have equal distribution of work. If there is any perceived imbalance in the collaborative project, the student should bring this to the attention of the instructor or the teaching assistant.

Assistance with writing and disabilities: Several USC's schools provide support for students who need help with scholarly writing. Check with your advisor or program staff to find out more. Students whose primary language is not English should check with the American Language Institute which sponsors courses and workshops specifically for international graduate students. The Office of Disability Services and Programs provides certification for students with disabilities and helps arrange the relevant accommodations. If an officially declared emergency makes travel to campus infeasible, USC Emergency Information will provide safety and other updates, including ways in which instruction will be continued by means of Blackboard, teleconferencing, and other technology.

Last updated: Wed Apr 24 02:34:12 PM PDT 2024