Function Passing: A Model for Typed, Distributed Functional Programming

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Data races have long been a notorious problem in concurrent programming. They are subtle to detect, and lead to non-deterministic behaviours. There has been a lot of interest in type systems that statically guarantee data race freedom. Significant progress ...

Type inference in the presence of first-class or "impredicative" second-order polymorphism a la System F has been an active research area for several decades, with original works dating back to the end of the 80s. Yet, until now many basic problems remain ...

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Formally verifying the correctness of software is necessary to merit the trust people put in software systems. Currently, formal verification requires human effort to prove that a piece of code matches its specification and code changes to improve verifiab ...

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We present an automated approach to verify the correctness of programming assignments, such as the ones that arise in a functional programming course. Our approach takes as input student submissions and reference solutions, and uses equivalence checking to ...

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Type systems usually characterize the shape of values but not their free variables. However, many desirable safety properties could be guaranteed if one knew the free variables captured by values. We describe CC

Functional data are typically modeled as sample paths of smooth stochastic processes in order to mitigate the fact that they are often observed discretely and noisily, occasionally irregularly and sparsely. The smoothness assumption is imposed to allow for ...

The Dependent Object Type (DOT) calculus was designed to put Scala on a sound basis, but while DOT relies on structural subtyping, Scala is a fundamentally class-based language. This impedance mismatch means that a proof of DOT soundness by itself is ...

This Replicating Computational Report (RCR) describes (a) our datAFLow fuzzer and (b) how to replicate the results in "datAFLow: Toward a Data-Flow-Guided Fuzzer." Our primary artifact is the datAFLow fuzzer. Unlike traditional coverage-guided greybox fuzz ...

Automatic verification of programs manipulating arrays relies on specialised decision procedures. A methodology to classify the theories handled by these procedures is introduced. It is based on decomposition theorems in the style of Feferman and Vaught. T ...

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Formal verification of real-world software systems remains challenging for a number of reasons, including lack of automation, friction in specifying properties, and limited support for the diverse programming paradigms used in industry. In this thesis we m ...

Type-level programming is becoming more and more popular in the realm of functional programming. However, the combination of type-level programming and subtyping remains largely unexplored in practical programming languages. This paper presents match types ...

Function Passing: A Model for Typed, Distributed Functional Programming

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Degrees of Separation: A Flexible Type System for Safe Concurrency

When Subtyping Constraints Liberate A Novel Type Inference Approach for First-Class Polymorphism

Formal Foundations of Capture Tracking

Secure Interface Design Leveraging Hardware/Software Support

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Automated Formal Verification of Software Network Functions

Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations

Proving and Disproving Equivalence of Functional Programming Assignments

Dynamic Linkers Are the Narrow Waist of Operating Systems

Capturing Types

Functional data analysis with rough sample paths?

Type-Preserving Compilation of Class-Based Languages

DatAFLow: Toward a Data-flow-guided Fuzzer

On algebraic array theories

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Validating functional redundancy with mixed generative adversarial networks

Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Scaling Language Features for Program Verification

Type-Level Programming with Match Types