UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Continuous Reasoning: Scaling the impact of formal methods

O'Hearn, PW; (2018) Continuous Reasoning: Scaling the impact of formal methods. In: Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science. (pp. pp. 13-25). ACM: New York (NY), USA. Green open access

[thumbnail of O'Hearn_Continuous reasoning. Scaling the impact of formal methods_VoR.pdf]
Preview
Text
O'Hearn_Continuous reasoning. Scaling the impact of formal methods_VoR.pdf - Published Version

Download (635kB) | Preview

Abstract

This paper describes work in continuous reasoning, where formal reasoning about a (changing) codebase is done in a fashion which mirrors the iterative, continuous model of software development that is increasingly practiced in industry. We suggest that advances in continuous reasoning will allow formal reasoning to scale to more programs, and more programmers. The paper describes the rationale for continuous reasoning, outlines some success cases from within industry, and proposes directions for work by the scientific community.

Type: Proceedings paper
Title: Continuous Reasoning: Scaling the impact of formal methods
Event: The 33rd Annual ACM/IEEE Symposium on Logic in Computer Science
Location: New York (NY), USA
Dates: 9th-12th July 2018
ISBN-13: 978-1-4503-5583-4
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3209108.3209109
Publisher version: https://dx.doi.org/10.1145/3209108.3209109
Language: English
Additional information: © 2018 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/).
Keywords: Reasoning, Continuous Integration
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10074600
Downloads since deposit
526Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item