High Assurance Software for Financial Regulation and Business Platforms

Stephen Goldbaum; Attila Mihaly; Tosha Ellison; Earl T. Barr; Mark Marron

doi:10.1007/978-3-030-94583-1_6

High Assurance Software for Financial Regulation and Business Platforms

Stephen Goldbaum
, Attila Mihaly
, Tosha Ellison
, Earl T. Barr
, Mark Marron

Computer Science

Producción científica: Conference contribution › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Proceedings
Editores	Bernd Finkbeiner, Thomas Wies
Páginas	108-126
Número de páginas	19
DOI	https://doi.org/10.1007/978-3-030-94583-1_6
Estado	Published - 2022
Evento	23rd International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2022 - Philadelphia, United States Duración: ene 16 2022 → ene 18 2022

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	13182 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	23rd International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2022
País/Territorio	United States
Ciudad	Philadelphia
Período	1/16/22 → 1/18/22

Nota bibliográfica

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Financiación

These challenges require broad community engagement to overcome. Thus, a consortium of leaders from Morgan Stanley and Goldman Sachs and researchers at Microsoft Research and University College London drove this project, with support from the Fintech Open Source Foundation (FINOS). The core challenge involved creating a mechanism to share rules, calculations, and their data models in a form that spans the wide range of current and future technologies across the industry. In this paper, we describe our experience in creating a programming and validation ecosystem that can support the needs of financial services companies in developing and delivering high assurance software and regulatory compliance software artifacts. Three interlocking goals guided our work:

Financiadores
Fintech Open Source Foundation
Microsoft Research
University of London, King's College London, UK

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Acceder al documento

10.1007/978-3-030-94583-1_6

Otros archivos y enlaces

Citar esto

Goldbaum, S., Mihaly, A., Ellison, T., Barr, E. T., & Marron, M. (2022). High Assurance Software for Financial Regulation and Business Platforms. En B. Finkbeiner, & T. Wies (Eds.), Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Proceedings (pp. 108-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13182 LNCS). https://doi.org/10.1007/978-3-030-94583-1_6

Goldbaum, Stephen ; Mihaly, Attila ; Ellison, Tosha et al. / High Assurance Software for Financial Regulation and Business Platforms. Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Proceedings. editor / Bernd Finkbeiner ; Thomas Wies. 2022. pp. 108-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Goldbaum, S, Mihaly, A, Ellison, T, Barr, ET & Marron, M 2022, High Assurance Software for Financial Regulation and Business Platforms. En B Finkbeiner & T Wies (eds.), Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13182 LNCS, pp. 108-126, 23rd International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2022, Philadelphia, United States, 1/16/22. https://doi.org/10.1007/978-3-030-94583-1_6

High Assurance Software for Financial Regulation and Business Platforms. / Goldbaum, Stephen; Mihaly, Attila; Ellison, Tosha et al.
Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Proceedings. ed. / Bernd Finkbeiner; Thomas Wies. 2022. p. 108-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13182 LNCS).

Producción científica: Conference contribution › revisión exhaustiva

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Goldbaum S, Mihaly A, Ellison T, Barr ET, Marron M. High Assurance Software for Financial Regulation and Business Platforms. En Finkbeiner B, Wies T, editores, Verification, Model Checking, and Abstract Interpretation - 23rd International Conference, VMCAI 2022, Proceedings. 2022. p. 108-126. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-94583-1_6