Presented annually to the author(s) of a paper presented at the POPL held 10 years prior to the award year. The award includes a prize of $1,000 to be split among the authors of the winning paper. The papers are judged by their influence over the past decade.
The award given in year N is for the most influential paper presented at the conference held in year N-10. The selection committee consists of the following members:
The SIGPLAN Chair shall also adjudicate conflicts of interest, appointing substitutes to the committee as necessary.
The “view-update problem” is a classic problem in databases: when operating on a partial view of a data structure, how should updates to the view be propagated to the original data structure? This POPL 2005 paper was instrumental in bringing the view-update problem to the attention of the programming languages community and demonstrating the broad relevance of the problem beyond databases. The immediate contributions of the paper were (1) to introduce a general mathematical space of well-behaved bidirectional transformations called “lenses,” and (2) to develop a specific instantiation of this framework in the form of a domain-specific language of combinators for tree transformations, which served as the basis for subsequent tools for editing XML and HTML. More broadly, the paper sparked a great deal of follow-on work in the area of BX (“bidirectional transformations”), leading to a fruitful collaboration between the worlds of databases, programming languages, and software engineering.
(for 2004) Abstractions from proofs
Interpolation can be used to construct an inductive invariant for a transition system that is strong enough to prove a given property. Prior to Henzinger et al.’s paper, interpolation had only been applied to model checking of finite-state systems. In this paper, the authors demonstrated a fundamental generalization of Craig interpolation to program analysis by predicate abstraction, opening the door for interpolation to be applied to abstraction refinement of infinite-state systems. This work showed how interpolation offers a fundamental way to explain abstraction refinement in a logical framework and has led to many extensions to increase the power of abstraction in program analysis.
Languages with automatic memory management offer well-known advantages in terms of software engineering, but the use of garbage collection seemed for a long time to place such languages off-limits for hard real-time and embedded systems. Indeed, prior to this highly influential paper, the existing approaches to real-time garbage collection suffered from a number of practical problems: a lack of hard bounds on pause times in the face of fragmentation or large data structures; high space overhead due to the use of copying collection to avoid fragmentation; and uneven mutator utilization due to the use of work-based scheduling algorithms. Bacon, Cheng & Rajan’s paper showed how to overcome all these problems in the design of a real real-time garbage collector for Java. The collector, which was implemented and tested in the Jikes RVM, employed an impressive variety of techniques, such as time-based scheduling and “mostly non-moving” collection, in order to provide guaranteed pause times, consistent mutator utilization, and low space overhead. In short, the paper marked a major advance toward the important goal of turning hard real-time garbage collection into a reality.
This paper showed a path to taking legacy C code and making it safer, by adding type safety guarantees to existing C programs. It uses a combination of static and dynamic techniques to allow programmers to conduct low-level operations while guaranteeing safety properties regarding pointers and minimizing overhead. For many C programs, CCured’s type inference is able to infer that most or all of the pointers are statically verifiable to be type safe. This paper demonstrates the beauty of both dynamic and static types, influencing the design of languages such as C#, and inspiring continuing research on static and dynamic analysis.
In applying the logic of bunched implications (BI) to mutable data structures this paper laid the groundwork for the flowering of separation logic (heap models of separation logic are specific BI models), which allows reasoning about programs with dynamically allocated (and deallocated) memory. This paper introduced the ‘frame rule’ which supports local reasoning in separation logic, where specifications and proofs concentrate on just those memory cells manipulated by a program component rather than the entire global program state. Separation logic underlies continuing research on what is described as local reasoning, having diverse application in domains such as program verification and automated parallelization.
“Anytime, Anywhere: Modal Logics for Mobile Ambients” by Luca Cardelli and Andrew D. Gordon helped spur a flowering of work in the area of process calculi that continues today. The paper focused on modal logics for reasoning about both temporal and spacial modalities for ambient behaviours, demonstrating techniques that also apply to other process calculi (even those without an explicit notion of location), so contributing to excitement in an area that was growing at that time and continues. The work has led to application of concurrency theory in fields as diverse as security, safety critical applications, query languages for semistructured data, and systems biology.
“JFlow: Practical Mostly-Static Information Flow Control” by Andrew C. Myers demonstrated the practicality of using static information flow analysis to protect privacy and preserve integrity by giving an efficient information flow type checker for an extension of the widely-used Java language. The work has had a significant impact both within and beyond the programming language community. In particular, subsequent work for other languages has largely followed the path laid out in this paper, and the compiler infrastructure developed for JFlow (now called Jif) is widely used as a research platform. Furthermore, using the JFlow work as a basis, several major research initiatives are investigating the challenges of building complex, real-world systems with confidentiality guarantees.
(for 1998) From System F to Typed Assembly Language
“From System F to Typed Assembly Language” by Greg Morrisett, David Walker, Karl Crary, and Neal Glew began a major development in the application of type system ideas to low level programming. The paper shows how to compile a high-level, statically typed language into TAL, a typed assembly language defined by the authors. The type system for the assembly language ensures that source-level abstractions like closures and polymorphic functions are enforced at the machine-code level while permitting aggressive, low-level optimizations such as register allocation and instruction scheduling. This infrastructure provides the basis for ensuring the safety of untrusted low-level code artifacts, regardless of their source. A large body of subsequent work has drawn on the ideas in this paper, including work on proof-carrying code and certifying compilers.
(for 1997): Proof-carrying Code
(for 1996): Points-to Analysis in Almost Linear Time
(for 1995): A Language with Distributed Scope
(for 1993): Imperative functional programming