Safe Pointers in SPARK 2014
October 19, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Georges-Axel Jaloyan
arXiv ID
1710.07047
Category
cs.PL: Programming Languages
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In the context of deductive software verification, programs with pointers present a major challenge due to pointer aliasing. In this paper, we introduce pointers to SPARK, a well-defined subset of the Ada language, intended for formal verification of mission-critical software. Our solution is based on static alias analysis inspired by Rust's borrow-checker and affine types, and enforces the Concurrent Read, Exclusive Write principle. This analysis has been implemented in the GNAT Ada compiler and tested against a number of challenging examples including parts of real-life applications. Our tests show that only minor changes in the source code are required to fit the idiomatic Ada code into SPARK extended with pointers, which is a significant improvement upon the previous state of the art. The proposed extension has been approved by the Language Design Committee for SPARK for inclusion in a future version of SPARK, and is being discussed by the Ada Rapporteur Group for inclusion in the next version of Ada. In the report, we give a formal presentation of the analysis rules for a miniature version of SPARK and prove their soundness. We discuss the implementation and the case studies, and compare our solution with Rust.
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