WebPie: A Tiny Slice of Dependent Typing
April 08, 2024 Β· Declared Dead Β· π ThEdu@CADE
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Christophe Scholliers
arXiv ID
2404.05457
Category
cs.PL: Programming Languages
Cross-listed
cs.LO,
cs.SC
Citations
0
Venue
ThEdu@CADE
Last Checked
4 months ago
Abstract
Dependently typed programming languages have become increasingly relevant in recent years. They have been adopted in industrial strength programming languages and have been extremely successful as the basis for theorem provers. There are however, very few entry level introductions to the theory of language constructs for dependently typed languages, and even less sources on didactical implementations. In this paper, we present a small dependently typed programming language called WebPie. The main features of the language are inductive types, recursion and case matching. While none of these features are new, we believe this article can provide a step forward towards the understanding and systematic construction of dependently typed languages for researchers new to dependent types.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted