A compiler is fully-abstract if the compilation from source language programs to target language programs reflects and preserves behavioural equivalence. Such compilers have important security benefits, as they limit the power of an attacker interacting with the program in the target language to that of an attacker interacting with the program in the source language. Proving compiler full-abstraction is, however, rather complicated. A common proof technique is based on the back-translation of target-level program contexts to behaviourally-equivalent source-level contexts. However, constructing such a backtranslation is problematic when the source language is not strong enough to embed an encoding of the target language. For instance, when compiling from a simply-typed λcalculus (λ τ ) to an untyped λ-calculus (λ u ), the lack of recursive types in λ τ prevents such a back-translation.We propose a general and elegant solution for this problem. The key insight is that it suffices to construct an approximate back-translation. The approximation is only accurate up to a certain number of steps and conservative beyond that, in the sense that the context generated by the back-translation may diverge when the original would not, but not vice versa. Based on this insight, we describe a general technique for proving compiler full-abstraction and demonstrate it on a compiler from λ τ to λ u . The proof uses asymmetric cross-language logical relations and makes innovative use of step-indexing to express the relation between a context and its approximate back-translation. The proof extends easily to common compiler patterns such as modular compilation and, to the best of our knowledge, it is the first compiler full abstraction proof to have been fully mechanised in Coq. We believe this proof technique can scale to challenging settings and enable simpler, more scalable proofs of compiler full-abstraction. 2012 ACM CCS: [Security and privacy Logic and verification]: 300; [Software and its engineering General programming languages]: 300; [Software and its engineering Compilers]: 300.
With Java 5 and C# 2.0, first-order parametric polymorphism was introduced in mainstream object-oriented programming languages under the name of generics. Although the first-order variant of generics is very useful, it also imposes some restrictions: it is possible to abstract over a type, but the resulting type constructor cannot be abstracted over. This can lead to code duplication. We removed this restriction in Scala, by allowing type constructors as type parameters and abstract type members. This paper presents the design and implementation of the resulting type constructor polymorphism. Furthermore, we study how this feature interacts with existing object-oriented constructs, and show how it makes the language more expressive.
Dependent pattern matching is an intuitive way to write programs and proofs in dependently typed languages. It is reminiscent of both pattern matching in functional languages and case analysis in on-paper mathematics. However, in general it is incompatible with new type theories such as homotopy type theory (HoTT). As a consequence, proofs in such theories are typically harder to write and to understand. The source of this incompatibility is the reliance of dependent pattern matching on the so-called K axiom - also known as the uniqueness of identity proofs - which is inadmissible in HoTT. The Agda language supports an experimental criterion to detect definitions by pattern matching that make use of the K axiom, but so far it lacked a formal correctness proof. In this paper, we propose a new criterion for dependent pattern matching without K, and prove it correct by a translation to eliminators in the style of Goguen et al. (2006). Our criterion both allows more good definitions than existing proposals, and solves a previously undetected problem in the criterion offered by Agda. It has been implemented in Agda and is the first to be supported by a formal proof. Thus it brings the benefits of dependent pattern matching to contexts where we cannot assume K, such as HoTT. It also points the way to new forms of dependent pattern matching, for example on higher inductive types.
Dependently typed languages such as Agda, Coq and Idris use a syntactic first-order unification algorithm to check definitions by dependent pattern matching. However, these algorithms don't adequately consider the types of the terms being unified, leading to various unintended results. As a consequence, they require ad hoc restrictions to preserve soundness, but this makes them very hard to prove correct, modify, or extend. This paper proposes a framework for reasoning formally about unification in a dependently typed setting. In this framework, unification rules compute not just a unifier but also a corresponding correctness proof in the form of an equivalence between two sets of equations. By rephrasing the standard unification rules in a proofrelevant manner, they are guaranteed to preserve soundness of the theory. In addition, it enables us to safely add new rules that can exploit the dependencies between the types of equations. Using our framework, we reimplemented the unification algorithm used by Agda. As a result, we were able to replace previous ad hoc restrictions with formally verified unification rules, fixing a number of bugs in the process. We are convinced this will also enable the addition of new and interesting unification rules in the future, without compromising soundness along the way.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.