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

High Assurance Software for Financial Regulation and Business Platforms

Goldbaum, S; Mihaly, A; Ellison, T; Barr, ET; Marron, M; (2022) High Assurance Software for Financial Regulation and Business Platforms. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). (pp. pp. 108-126). Springer International Publishing: Cham, Switzerland. Green open access

[thumbnail of finir.pdf]
Preview
Text
finir.pdf - Other

Download (301kB) | Preview

Abstract

The financial technology sector is undergoing a transformation in moving to open-source and collaborative approaches as it works to address increasing compliance and assurance needs in its software stacks. Programming languages and validation technologies are a foundational part of this change. Based on this viewpoint, a consortium of leaders from Morgan Stanley and Goldman Sachs, researchers at Microsoft Research, and University College London, with support from the Fintech Open Source Foundation (FINOS) engaged to build an open programming stack to address these challenges. The resulting stack, Morphir, centers around a converged core intermediate representation (IR), MorphirIR, that is a suitable target for existing languages in use in major investment banks and that is amenable to analysis with formal methods technologies. This paper documents the design of the MorphirIR language and the larger Morphir ecosystem with an emphasis on how they benefit from and enable formal methods for error checking and bug finding. We also report our initial experiences working in this system, our experience using formal validation in it, and identify open issues that we believe are important to the Fintech community and relevant to the research community.

Type: Proceedings paper
Title: High Assurance Software for Financial Regulation and Business Platforms
Event: VMCAI 2022: Verification, Model Checking, and Abstract Interpretation
ISBN-13: 9783030945824
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-94583-1_6
Publisher version: https://doi.org/10.1007/978-3-030-94583-1_6
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: 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
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10146184
Downloads since deposit
1,580Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item