R.I.P.
π»
Ghosted
Towards an Accurate Mathematical Model of Generic Nominally-Typed OOP
October 14, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Moez A. AbdelGawad
arXiv ID
1610.05114
Category
cs.PL: Programming Languages
Citations
9
Venue
arXiv.org
Last Checked
3 months ago
Abstract
The construction of GNOOP as a domain-theoretic model of generic nominally-typed OOP is currently underway. This extended abstract presents the concepts of `nominal intervals' and `full generication' that are likely to help in building GNOOP as an accurate mathematical model of generic nominally-typed OOP. The abstract also presents few related category-theoretic suggestions. The presented concepts and suggestions are particularly geared towards enabling GNOOP to offer a precise and simple view of so-far-hard-to-analyze features of generic OOP such as variance annotations (e.g., Java wildcard types) and erased generics (e.g., Java type erasure).
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
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