Presented annually to the author of an outstanding doctoral dissertation in the area of Programming Languages. The award includes a prize of $1,000. The awardee can choose to receive the award at ICFP, OOPSLA, POPL, or PLDI. At the discretion of the Selection Committee, multiple awards and/or honorable mentions may be presented for a given year.

All questions about the John C. Reynolds Doctoral Dissertation Award
should be directed to **reynolds_award@sigplan.org**.

**Nominations**

Nominations must be submitted via the SIGPLAN Awards Nomination Portal at https://awards.sigplan.org/nominate/reynolds/ by January 15th 2019 (anywhere on earth) to be considered for this year’s award. The nominated dissertation must have been awarded in 2018 and be available in English (to facilitate evaluation by the selection committee).

A nomination consists of the following items:

- Name, address, phone number, and email address of the person making the nomination (the nominator).
- Name, address, phone number, and email address of the candidate for whom an award is recommended (the nominee).
- Dissertation - either as a pdf or a url where the dissertation can be found.
- A short statement (200-500 words) explaining why the nominee merits the award.
- Supporting statements from up to two people in addition to the nominator.

**About**

This award recognizes the contributions to computer science that John C. Reynolds made during his life. It is a renaming of the SIGPLAN Outstanding Doctoral Dissertation Award to encourage the clarity and rigor that Reynolds embodied and at the same time provide a reminder of Reynolds’s legacy and the difference a person can make in the field of programming language research.

**Selection Committee**

- Emery Berger (emery@cs.umass.edu) - UMass Amherst (SIGPLAN EC member)
- Steve Blackburn (steve.blackburn@anu.edu.au) - Australian National University
- Derek Dreyer (dreyer@mpi-sws.org) - Max Planck Institute for Software Systems
- Susan Eisenbach (s.eisenbach@imperial.ac.uk) - Imperial College London
- Nate Foster (jnfoster@cs.cornell.edu) - Barefoot Networks / Cornell University
- Georges Gonthier (georges.gonthier@inria.fr) - Inria
- Mira Mezini (mezini@cs.tu-darmstadt.de) - Technische Universität Darmstadt (SIGPLAN EC member and Chair)
- Todd Millstein (todd@cs.ucla.edu) - University of California, Los Angeles
- Jens Palsberg (palsberg@cs.ucla.edu) - University of California, Los Angeles (ex officio member as SIGPLAN Chair)
- Andreas Podelski (podelski@informatik.uni-freiburg.de) - University of Freiburg
- Alexandra Silva (alexandra.silva@ucl.ac.uk) - University College London
- Armando Solar-Lezama (asolar@csail.mit.edu) - M.I.T
- Martin Vechev (martin.vechev@inf.ethz.ch) - ETH
- Eran Yahav (yahave@cs.technion.ac.il) - Technion

*Probabilistic Couplings for Probabilistic Reasoning*

**Advisor:** Benjamin C. Pierce and Aaron Roth

**Citation:**

The thesis explores and generalizes the COUPLING proof technique, for establishing properties of randomized algorithms. A correspondence between two different probabilistic programs (or two runs of the same program) requires the specification of the c orrelation between corresponding pairs of random draws and then extending this coupling on samples to a coupling on the resulting output distributions, which can then be used to establish the desired property on the programs. As Probabilistic Relation al Hoare Logic has just the right structure to be able to formally encode these coupling arguments, the thesis analyzes the structure of these arguments through this formal lens, justifying the attractiveness of the coupling approach in terms of compo sitionality. It then considers an enriched logic and its connection to approximate couplings, which in turn are directly connected to differential privacy. Working in this logic, it gives novel proofs of some key constructions from differential priv acy, including the exponential and sparse vector mechanisms. The proof for sparse vector is the first ever to be carried out in a machine-checkable form.

Taken together, these results constitute a significant advance in our ability to mechanize key properties of important randomized algorithms such as those found in the differential privacy literature.

*Practical Formal Techniques and Tools for Developing LLVM’s Peephole Optimizations*

**Advisor:** Santosh Nagarakatte

**Citation:**

This thesis proposes abstractions and formal tools to develop correct LLVM peephole optimizations. A domain specific language (DSL) Alive enables the specification and verification of peephole optimizations. An Alive transformation is shown to be correct automatically by encoding the transformation and correctness criteria as constraints in first-order logic, which are automatically checked for validity using an SMT solver. It then generates C++ code for an LLVM pass. Peephole optimizations in LLVM are executed numerous times until no optimization is applicable and one optimization could undo the effect of the other resulting in non-terminating compilation. A novel algorithm based on directed-acyclic-graph (DAG) composition determines whether such non-termination bugs can occur with a suite of peephole optimizations. The Alive toolkit can generate concrete input to demonstrate non-termination as well as automatically generating weakest preconditions. It is actively used by the LLVM community and has detected numerous bugs in existing passes and is preventing bugs from being added to the compiler.

*Self-compilation and Self-verification*

**Advisor:** Mike Gordon and Magnus Myreen

**Citation:**

This thesis establishes end-to-end verification with a comprehensive chain of connections all the way from the semantics of a theorem prover expressed in set theory down to x86 machine code running it. It also makes striking use of self-application for both the compiler and the theorem prover. The “CakeML” compiler is compiled with itself. But more than that: it is formally proved correct, and the core of the theorem prover used to prove its correctness is also compiled using CakeML and formally verified using itself. Not only is this a compelling demonstration of the possibilities for formally correct software, and the promise of the CakeML system as an enabling technology for it, but gives perhaps the first really convincing correctness proof for the core of a higher-order logic interactive theorem prover. It is possible that this combination of theorem prover and formally verified path to machine code will become one of the primary platforms for developing high-assurance software.

*Parallel Proofs for Parallel Programs*

**Advisor:** Azadeh Farzan

**Citation:**

This thesis proposes a new solution for the problem of concurrent program verification introducing the use of explicitly parallel models and logics to represent and reason about concurrent programs. An effective way of finding a sweet spot in the cost-precision spectrum is provided, weaving together the two steps of constraint generation and cons traint resolution, offering a new way to think about proofs of concurrent programs. This paradigm shift has been missing in the space of “automated” program verification of infinite-state programs, since despite the absolute elegance of Owicki-Gries and Rely-Guarantee proof techniques, the completeness of these techniques heavily relies on the concept of auxiliary proof state. In this thesis, “inductive data flow graphs” (iDFG) offer the same completeness and elegance as the Owicki-Gries method minus the need for the auxiliary state in generating provably “compact” proof arguments. The elegance of iDFGs are generalized into a proof method “proof spaces” for concurrent programs with “unboundedly” many threads.

*Automatic Reasoning for Pointer Programs Using Decidable Logics*

**Advisor:** Mooly Sagiv

**Citation:**

Automated verification of imperative data structures such as lists is challenging because of the need to define complex loop invariants that have a sensible interpretation in an underlying program logic. This thesis presents a number of foundational results that greatly simplify the proof obligations that must be provided by the programmer for the verification of such programs. Through the introduction and application of concepts such as deterministic transitive closure and property-directed reachability, the thesis demonstrates the feasibility of using a decidable logic (EPR) as an effective basis for answering reachability queries on an expressive class of imperative list-manipulating programs. The thesis also extends these foundational ideas to define modular principles for reasoning about imperative data structures across procedure boundaries. These contributions ultimately lead to a system that can effectively infer loop invariants from an expressive template family using existing SAT solver and shape analysis technology. Collectively, these results lead to a thesis that makes very important foundational and practical contributions to our understanding of the potential of automated program verification and its application to real-world programs.

*A Dependently Typed Language with Nontermination*

**Advisor:** Stephanie Weirich

**Citation:**

This work represents a major step toward the holy grail of “general-purpose dependently typed programming” – i.e., the design of programming languages that allow programs to be written using the full spectrum of standard features and idioms while, supporting machine-checked correctness proofs for these programs, expressed in the very same language. Such languages, combining the logical power of full-spectrum dependent languages such as Coq and Agda with the convenience and expressiveness of mainstream functional languages and supporting “lightweight verification” targeting just the most important properties of the most critical parts of the code, have been imagined for decades, but realizing this dream has proved technically challenging. The language and its accompanying metatheory introduce two important innovations. The first, and more technical, of these is the design of a core language combining a call-by-value evaluation order, a pragmatically motivated treatment of computational irrelevance (to support compilation to efficient machine code), and a novel treatment of propositional equality. The second is a new approach to surface-language design, where two terms (including proof terms) are considered to be equivalent if one can be rewritten to the other by applying a set of “known equalities” arising from previous definitions, which is quite convenient and intuitive for programmers. This beautiful thesis will be a cornerstone of a new generation of language designs supporting significantly more robust and reliable software development.

*The C11 and C++11 Concurrency Model*

**Advisor:** Peter Sewell

**Citation:**

Mark Batty’s dissertation makes significant contributions to the understanding of memory models for C and C++. The ISO C++ committee proposed a design for C and C++ concurrency that was not up to the task of capturing a realistic relaxed-memory concurrency model. Batty’s work uncovered a number of subtle and serious flaws in the design, and produced an improved design in completely rigorous and machine-checked mathematics. Using software tools to explore the consequences of the design, derived directly from the mathematics, it showed that it has the desired behavior on many examples, and developed mechanized proofs that the design meets some of the original goals, showing that for programs in various subsets of the language one can reason in simpler models. The standards committee have adopted this work in their C11, C++11, and C++14 standards. The members of the award committee were impressed with the quality of the work, the impact it has had on the standardization process for C++, and the clarity of the presentation.

*Understanding and Expressing Scalable Concurrency*

**Advisor:** Mitchell Wand

**Citation:**

Aaron Turon’s dissertation makes several major contributions to the design, implementation, and verification of scalable concurrent programs. First, the dissertation presents “reagents”, a high-level language of combinators for designing—and

composing—lock-free data structures. Second, the dissertation shows how lock-free data structures can be used to scalably implement Fournet and Gonthier’s join calculus, in a newly re-engineered C# library that significantly outperforms prior lock-based implementations. Third, the dissertation develops powerful theoretical foundations—based on logical relations and separation logic—for verifying the correctness of scalable concurrent algorithms via contextual refinement. The members of the award committee were impressed with both the breadth and depth of the work, as well as the elegance of the exposition.

*Verifying Low-Level Programs via Liquid Type Inference*

**Advisor:** Ranjit Jhala

**Citation:**

Patrick Rondon’s dissertation makes several significant contributions to the field of automatic program verification. It takes a type system – a highly scalable yet not quite precise method of dealing with programs – and refines it using Satisfiability Modulo Theory (SMT) techniques to compensate for the precision loss. There are implementations for both OCaml and C. The achieved degree of effectiveness and automation is astonishing: programs that are beyond the existing verification tools can be handled fully automatically within seconds. It demonstrates that formal verification can yield significant reliability guarantees for mainstream software engineering, at a reasonable cost. In addition, the thesis contains a comprehensive formalization with very detailed, readable proofs. The members of the award committee were impressed by the quality of the work and the clarity of the presentation.

*Simplified Semantics and Debugging of Concurrent Programs via Targeted Race Detection*

**Advisor:** Todd Millstein

**Citation:**

This dissertation addresses the problem of obtaining reliable results from concurrent programs. As a first step, the dissertation presents LiteRace, which uses sampling to dynamically detect race conditions. As a second step, the dissertation presents DRFx, which is a memory model that enforces sequential consistency, where hardware and software share responsibility for detecting violations of sequential consistency. Finally, the dissertation presents the design of an optimizing compiler that preserves sequential consistency. The dissertation thus demonstrates how a revised distribution of responsibilities among programmers, programming languages, and hardware can help detect and avoid concurrency violations. The committee was impressed with the dissertation’s broad vision for both the problems of concurrency and the possible solutions.

Selection committee:

- John Boyland (U. Wisconsin Milwaukee)
- Chen Ding (U. Rochester)
- Matthew Flatt (U. Utah)
- David Gregg (Trinity U.)
- Norman Ramsey (Tufts U.)
- Jeremy Siek (U. Colorado)
- Adam Welc (Oracle)

*An Effect System and Language for Deterministic-by-Default Parallel Programming*

**Advisor:** Vikram Adve

**Citation:**

This dissertation makes several significant contributions to the field of parallel and concurrent programming. The main technical contribution is a type and effect system that enables reasoning about non-interference at a fine granularity. A second contribution is support for non-deterministic code sections that are explicitly marked as such. A third contribution is support for object-oriented frameworks, where user extensions are guaranteed to adhere to the framework’s effect restrictions. These contributions are backed by formal models, soundness proofs, and the Deterministic Parallel Java implementation. Evaluation shows that highly satisfactory speedups can be achieved on interesting code bases, sometimes beating the performance of hand-crafted implementations. The members of the award committee were impressed by the quality of the work and the clarity of the presentation.

Selection commmittee: Ras Bodik, Matthew Dwyer, Matthew Flatt, Matthew Fluet, Kevin Hammond, Nathaniel Nystrom, Kostis Sagonas, Peter Sewell, Peter Thiemann

*Interprocedural Analysis and the Verification of Concurrent Programs*

**Advisor:** Thomas Reps

**Citation:**

This dissertation develops improvements to interprocedural program analysis through context-bounded analysis and through Lal’s extended weighted push down systems, which generalize weighted push down systems to handle local variables. The dissertation describes both algorithms and experiments, and it shows, for example, a 30-fold speedup over existing algorithms for analyzing concurrent programs. The members of the award committee were impressed by the unusual scope and depth of the dissertation and its excellent presentation.

*Language and Compiler Support for Stream Programs*

**Advisor:** Saman Amarasinghe

**Citation:**

This dissertation describes the StreamIt synchronous dataflow language, for which Thies led the definition. The language supports several novel constructs, notably teleport messaging. Thies’s dissertation includes a technique for processing compressed video data, and it also describes dynamic analysis techniques to convert legacy C applications to streaming applications. The members of the award committee were impressed with the novelty, interdisciplinary nature, and breadth of the work, the care given to evaluation, and the quality of the presentation.

*Diagnosing and Tolerating Bugs in Deployed Systems*

**Advisor:** Kathryn McKinley

**Citation:**

This dissertation makes several significant contributions to the problems of tracking down and tolerating software errors in deployed systems. It proposes a variety of techniques, ranging from a breakthrough, probabilistic method of compactly representing calling contexts, to novel techniques for tracking null pointers, to garbage collector modifications that let programs tolerate memory leaks. The evaluation committee was impressed by Michael’s fresh perspective on these problems and the thorough experimental evaluation by which he backs up his claims. His research has already had broad adoption and impact, and we believe that his techniques will be brought to bear on a wide range of future applications.

*Modular Fine-grained Concurrency Verification*

**Advisor:** Alan Mycroft and Matthew Parkinson

**Citation:**

This dissertation introduces a novel logic for reasoning about concurrent shared-memory programs. This logic subsumes both rely/guarantee reasoning and separation logic in an elegant and natural manner. The dissertation establishes the semantic properties of the logic and demonstrates its applicability on a range of highly complex concurrent algorithms and data structures. The evaluation committee found the clarity of Viktor’s presentation and the technical depth of his results particularly compelling, and we believe that this work creates a foundation for new tools and automated techniques for reasoning about concurrent programs.

*Logics and Algorithms for Software Model Checking*

**Advisor:** Rajeev Alur

**Citation:**

The thesis explores a formalism called nested trees, that can represent complex branching behavior (loops and recursion) and support modular statement of context-sensitive correctness conditions. It further makes a specific technical contribution by offering the first algorithm for reachability in in nested trees that is sub-cubic in performance. The committee believes this work has great potential for long-term utility.

*Fault Location via Dynamic Slicing*

**Advisor:** Rajiv Gupta

**Citation:**

Dynamic slicing is a technique for determining which variables and data structures affected values causing a fault (bug) at a particular location in a particular run of a program, thus allowing a programmer to work backwards to determine the ultimate cause of a fault. Previously this approach was too expensive to use in practice. Zhang has improved the performance by orders of magnitude, making it practical. The committee believes this work will have considerable impact and value in practice.

*Program Analysis using Random Interpretation*

**Advisor:** George Necula

*Isolation, Resource Management and Sharing in the KaffeOS Java Runtime System*

**Advisor:** Wilson Hsieh

**Advisor:** Scott Nettles

*Path-Sensitive Value-Flow Optimizations of Programs*

**Advisor:** Rajiv Gupta and Mary Lou Soffa