scholarly journals A certified lightweight non-interference Java bytecode verifier

2013 ◽  
Vol 23 (5) ◽  
pp. 1032-1081 ◽  
Author(s):  
GILLES BARTHE ◽  
DAVID PICHARDIE ◽  
TAMARA REZK
Keyword(s):  
Programming Languages ◽  
Information Flow ◽  
Type System ◽  
Type Systems ◽  
Program Execution ◽  
Flow Type ◽  
Java Bytecode ◽  
First Sound ◽  
Coq Proof Assistant ◽  
High Level

Non-interference guarantees the absence of illicit information flow throughout program execution. It can be enforced by appropriate information flow type systems. Much of the previous work on type systems for non-interference has focused on calculi or high-level programming languages, and existing type systems for low-level languages typically omit objects, exceptions and method calls. We define an information flow type system for a sequential JVM-like language that includes all these programming features, and we prove, in the Coq proof assistant, that it guarantees non-interference. An additional benefit of the formalisation is that we have extracted from our proof a certified lightweight bytecode verifier for information flow. Our work provides, to the best of our knowledge, the first sound and certified information flow type system for such an expressive fragment of the JVM.

Introduction to the Special Issue on Dependent Type Theory Meets Practical Programming

2004 ◽  
Vol 14 (1) ◽  
pp. 1-2
Author(s):  
GILLES BARTHE ◽  
PETER DYBJEN ◽  
PETER THIEMANN
Keyword(s):  
Programming Languages ◽  
Type Theory ◽  
Type System ◽  
Type Systems ◽  
Special Issue ◽  
Dependent Type Theory ◽  
Dependent Type

Modern programming languages rely on advanced type systems that detect errors at compile-time. While the benefits of type systems have long been recognized, there are some areas where the standard systems in programming languages are not expressive enough. Language designers usually trade expressiveness for decidability of the type system. Some interesting programs will always be rejected (despite their semantical soundness) or be assigned uninformative types.

scholarly journals Implicit self-adjusting computation for purely functional programs

2014 ◽  
Vol 24 (1) ◽  
pp. 56-112 ◽  
Author(s):  
YAN CHEN ◽  
JOSHUA DUNFIELD ◽  
MATTHEW A. HAMMER ◽  
UMUT A. ACAR
Keyword(s):  
Programming Languages ◽  
Type System ◽  
Type Systems ◽  
Type Inference ◽  
Source Program ◽  
Target Program ◽  
Implicit Approach ◽  
Asymptotic Complexity ◽  
Cost Semantics ◽  
Output Behavior

AbstractComputational problems that involve dynamic data, such as physics simulations and program development environments, have been an important subject of study in programming languages. Building on this work, recent advances in self-adjusting computation have developed techniques that enable programs to respond automatically and efficiently to dynamic changes in their inputs. Self-adjusting programs have been shown to be efficient for a reasonably broad range of problems, but the approach still requires an explicit programming style, where the programmer must use specific monadic types and primitives to identify, create, and operate on data that can change over time. We describe techniques for automatically translating purely functional programs into self-adjusting programs. In this implicit approach, the programmer need only annotate the (top-level) input types of the programs to be translated. Type inference finds all other types, and a type-directed translation rewrites the source program into an explicitly self-adjusting target program. The type system is related to information-flow type systems and enjoys decidable type inference via constraint solving. We prove that the translation outputs well- typed self-adjusting programs and preserves the source program's input–output behavior, guaranteeing that translated programs respond correctly to all changes to their data. Using a cost semantics, we also prove that the translation preserves the asymptotic complexity of the source program.

scholarly journals Featherweight generic confinement

2006 ◽  
Vol 16 (6) ◽  
pp. 793-811 ◽  
Author(s):  
ALEX POTANIN ◽  
JAMES NOBLE ◽  
DAVE CLARKE ◽  
ROBERT BIDDLE
Keyword(s):  
Programming Languages ◽  
Ad Hoc ◽  
Type System ◽  
Type Systems ◽  
General Purpose ◽  
Ownership Type ◽  
Essential Change ◽  
Polymorphic Type ◽  
Syntactic Restrictions

Existing approaches to object encapsulation either rely on ad hoc syntactic restrictions or require the use of specialised type systems. Syntactic restrictions are difficult to scale and to prove correct, while specialised type systems require extensive changes to programming languages. We demonstrate that confinement can be enforced cheaply in Featherweight Generic Java, with no essential change to the underlying language or type system. This result demonstrates that polymorphic type parameters can simultaneously act as ownership parameters and should facilitate the adoption of confinement and ownership type systems in general-purpose programming languages.

scholarly journals Ownership and Immutability in Coq

2021 ◽  
Author(s):  
◽  
Julian Mackay
Keyword(s):  
Programming Languages ◽  
Management System ◽  
Type Systems ◽  
Formal Proof ◽  
Proof Assistant ◽  
Significant Issue ◽  
The Coq Proof Assistant ◽  
Coq Proof Assistant

<p>A significant issue in modern programming languages is unsafe aliasing. Modern type systems have attempted to address this in two prominent ways; immutability and ownership, and often a combination of the two [4][17]. The goal of this thesis is to formalise Immutability and Ownership using the Coq Proof Assistant, a formal proof management system [13]. We encode three type systems using Coq; Featherweight Immutable Java, Featherweight Generic Java and Featherweight Ownership Generic Java, and prove them sound. We describe the challenges presented in encoding immutability, ownership and type systems in general in Coq.</p>

scholarly journals Implementing type theory in higher order constraint logic programming

2019 ◽  
Vol 29 (8) ◽  
pp. 1125-1150
Author(s):  
FERRUCCIO GUIDI ◽  
CLAUDIO SACERDOTI COEN ◽  
ENRICO TASSI
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Type System ◽  
Theorem Prover ◽  
Type Checking ◽  
Language Extension ◽  
Order Constraint ◽  
Simple Implementation ◽  
Calculus Of Inductive Constructions ◽  
High Level

In this paper, we are interested in high-level programming languages to implement the core components of an interactive theorem prover for a dependently typed language: the kernel – responsible for type-checking closed terms – and the elaborator – that manipulates open terms, that is terms containing unresolved unification variables.In this paper, we confirm that λProlog, the language developed by Miller and Nadathur since the 80s, is extremely suitable for implementing the kernel. Indeed, we easily obtain a type checker for the Calculus of Inductive Constructions (CIC). Even more, we do so in an incremental way by escalating a checker for a pure type system to the full CIC.We then turn our attention to the elaborator with the objective to obtain a simple implementation thanks to the features of the programming language. In particular, we want to use λProlog’s unification variables to model the object language ones. In this way, scope checking, carrying of assignments and occur checking are handled by the programming language.We observe that the eager generative semantics inherited from Prolog clashes with this plan. We propose an extension to λProlog that allows to control the generative semantics, suspend goals over flexible terms turning them into constraints, and finally manipulate these constraints at the meta-meta level via constraint handling rules.We implement the proposed language extension in the Embedded Lambda Prolog Interpreter system and we discuss how it can be used to extend the kernel into an elaborator for CIC.

Linearization of the lambda-calculus and its relation with intersection type systems

2004 ◽  
Vol 14 (5) ◽  
pp. 519-546 ◽  
Author(s):  
MÁRIO FLORIDO ◽  
LUÍS DAMAS
Keyword(s):  
Programming Languages ◽  
Functional Programming ◽  
Type System ◽  
Lambda Calculus ◽  
Type Systems ◽  
Functional Programming Languages

In this paper we present a notion of expansion of a term in the lambda-calculus which transforms terms into linear terms. This transformation replaces each occurrence of a variable in the original term by a fresh variable taking into account non-trivial implications in the structure of the term caused by these simple replacements. We prove that the class of terms which can be expanded is the same of terms typable in an Intersection Type System, i.e. the strongly normalizable terms. We then show that expansion is preserved by weak-head reduction, the reduction considered by functional programming languages.

scholarly journals Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching

2018 ◽  
Author(s):  
Srinivas Gorur-Shandilya ◽  
Alec Hoyland ◽  
Eve Marder
Keyword(s):  
Programming Languages ◽  
Type System ◽  
Worked Examples ◽  
Ease Of Use ◽  
Network Simulator ◽  
Seamless Integration ◽  
Research And Teaching ◽  
Attractive Option ◽  
High Level ◽  
Interactive Manipulation

ABSTRACTConductance-based models of neurons are used extensively in computational neuroscience. Working with these models can be challenging due to their high dimensionality and large number of parameters. Here, we present a neuron and network simulator built on a novel automatic type system that binds object-oriented code written in C++ to objects in MATLAB. Our approach builds on the tradition of uniting the speed of languages like C++ with the ease-of-use and feature-set of scientific programming languages like MATLAB. Xolotl allows for the creation and manipulation of hierarchical models with components that are named and searchable, permitting intuitive high-level programmatic control over all parts of the model. The simulator’s architecture allows for the interactive manipulation of any parameter in any model, and for visualizing the effects of changing that parameter immediately. Xolotl is fully featured with hundreds of ion channel models from the electrophysiological literature, and can be extended to include arbitrary conductances, synapses, and mechanisms. Several core features like bookmarking of parameters and automatic hashing of source code facilitate reproducible and auditable research. Its ease of use and rich visualization capabilities make it an attractive option in teaching environments. Finally, xolotl is written in a modular fashion, includes detailed tutorials and worked examples, and is freely available at https://github.com/sg-s/xolotl, enabling seamless integration into the workflows of other researchers.

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