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VeriDevOps

Fulltext:


Authors:

Andrey Sadovykh , Gunnar Widforss, Dragos Truscan , Eduard Paul Enoiu, Wissam Mallouli , Rosa Iglesias , Alessandra Bagnato , Olga Hendel

Research group:

Software Testing Laboratory

Publication Type:

Conference/Workshop Paper

Venue:

Design, Automation and Test in Europe Conference

Abstract

Current software development practices are increasingly based on using both COTS and legacy components which make such systems prone to security vulnerabilities. The modern practice addressing ever changing conditions, DevOps, promotes frequent software deliveries, however, verification methods artifacts should be updated in a timely fashion to cope with the pace of the process. VeriDevOps, Horizon 2020 project, aims at providing a faster feedback loop for verifying the security requirements and other quality attributes of large scale cyber-physical systems. VeriDevOps focuses on optimizing the security verification activities, by automatically creating verifiable models directly from security requirements formulated in natural language, using these models to check security properties on design models and then generating artefacts such as, tests or monitors that can be used later in the DevOps process. The main drivers for these advances are: Natural Language Processing, a combined formal verification and model-based testing approach, and machine-learning-based security monitors. VeriDevOps is in its initial stage - the project started on 1.10.2020 and it will run for three years. In this paper we will present the major conceptual ideas behind the project approach as well as the organizational settings.

Bibtex

@inproceedings{Sadovykh6106,
author = {Andrey Sadovykh and Gunnar Widforss and Dragos Truscan and Eduard Paul Enoiu and Wissam Mallouli and Rosa Iglesias and Alessandra Bagnato and Olga Hendel},
title = {VeriDevOps},
month = {February},
year = {2021},
booktitle = {Design, Automation and Test in Europe Conference},
url = {http://www.es.mdu.se/publications/6106-}
}