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A Core Calculus for Scala Type Checking

Publications associées (33)

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Higher-Order Subtyping with Type Intervals

Sandro Stucki

Modern, statically typed programming languages provide various abstraction facilities at both the term- and type-level. Common abstraction mechanisms for types include parametric polymorphism -- a hallmark of functional languages -- and subtyping -- which ...

EPFL2017

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Hubert Plociniczak

Statically typed languages verify programs at compile-time. As a result many programming mistakes are detected at an early stage of development. A programmer does not have to specify types for every single term manually, however. Many programming languages ...

EPFL2016

Function Passing: A Model for Typed, Distributed Functional Programming

Philipp Haller, Jocelyn Boullier

The most successful systems for “big data” processing have all adopted functional APIs. We present a new programming model we call function passing designed to provide a more principled substrate on which to build data-centric distributed systems. A key id ...

Assoc Computing Machinery2016

Dependent Object Types

Nada Amin

A scalable programming language is one in which the same concepts can describe small as well as large parts. Towards this goal, Scala unifies concepts from object and module systems. In particular, objects can contain type members, which can be selected as ...

EPFL2016

Language Support for Distributed Functional Programming

Software development has taken a fundamental turn. Software today has gone from simple, closed programs running on a single machine, to massively open programs, patching together user experiences byway of responses received via hundreds of network requests ...

EPFL2015

On Counter-Example Complete Verification for Higher-Order Functions

Viktor Kuncak, Etienne Kneuss, Nicolas Charles Yves Voirol

We present a verification procedure for pure higher-order functional Scala programs with parametric types. We show that our procedure is sound for proofs, as well as sound and complete for counter-examples. The procedure reduces the analysis of higher-orde ...

2015

Improving Human-Compiler Interaction Through Customizable Type Feedback

Martin Odersky, Hubert Plociniczak

Type errors reported by compilers can sometimes be cryptic, or difficult to understand. In this paper, we propose a type debugging framework that exposes a high-level representation of the typechecking decision-making process that users normally do not hav ...

2014

ScalaDyno: Making Name Resolution and Type Checking Fault-tolerant

Martin Odersky, Vlad Ureche, Cédric Bastin

The ScalaDyno compiler plugin allows fast prototyping with the Scala programming language, in a way that combines the benefits of both statically and dynamically typed languages. Static name resolution and type checking prevent partially-correct code from ...

ACM2014

Spores: A Type-Based Foundation for Closures in the Age of Concurrency and Distribution

Martin Odersky, Philipp Haller

Functional programming (FP) is regularly touted as the way forward for bringing parallel, concurrent, and distributed programming to the mainstream. The popularity of the rationale behind this viewpoint (immutable data transformed by function application) ...

2014

Foundations of Path-Dependent Types

Martin Odersky, Tiark Rompf, Nada Amin

A scalable programming language is one in which the same concepts can describe small as well as large parts. Towards this goal, Scala unifies concepts from object and module systems. An essential ingredient of this unification is the concept of objects wit ...

Assoc Computing Machinery2014