A predictive system resilience assessment tool (PSRAT)

Andrew Bajumpaa; Drew Borden; Christian Taylor; Priscila Silva; Lance Fiondella

doi:10.1016/j.softx.2026.102576

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A predictive system resilience assessment tool (PSRAT)

Journal article

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Peer reviewed

A predictive system resilience assessment tool (PSRAT)

Andrew Bajumpaa, Drew Borden, Christian Taylor, Priscila Silva and Lance Fiondella

SoftwareX, Vol.34, p.102576

06/01/2026

DOI: https://doi.org/10.1016/j.softx.2026.102576

Abstract

Regression methods

Resilience engineering

Resilience metrics

Resilience tool

This paper presents the Predictive System Resilience Assessment Tool (PSRAT) developed to automatically apply regression methods to accurately predict system resilience in terms of the external activities that impact system performance. The tool enables visualization of model fit with different covariates to the performance data, and computation of goodness-of-fit, resilience metrics, and confidence intervals to guide decision-making. The application and source code are freely available from the GitHub repository dedicated to this project. The abstract mathematical nature of the models enables resilience assessment and prediction in a range of application domains.

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Title: A predictive system resilience assessment tool (PSRAT)
Creators: Andrew Bajumpaa - University of Massachusetts Dartmouth
Drew Borden - University of Massachusetts Dartmouth
Christian Taylor - University of Massachusetts Dartmouth
Priscila Silva - The University of Texas at El Paso
Lance Fiondella - University of Massachusetts Dartmouth
Publication Details: SoftwareX, Vol.34, p.102576
Publisher: Elsevier; AMSTERDAM
Number of pages: 7
Grant note: U.S. Department of the Air Force: N00014-24-1-2231
This work was supported in part by the Homeland Security Community of Best Practices (HS CoBP) through the U.S. Department of the Air Force under contract FA8075-18-D-0002/FA8075-21-F-0074, and in part by the Office of Naval Research under award number N00014-24-1-2231. The views and conclusions expressed in this paper are those of the authors and do not reflect the official policy or position of the U.S. Department of Homeland Security, the U.S. Department of the Air Force, the Office of Naval Research, or U.S. Government.r N00014-24-1-2231. The views and conclusions expressed in this paper are those of the authors and do not reflect the official policy or position of the U.S. Department of Homeland Security, the U.S. Department of the Air Force, the Office of Naval Research, or U.S. Government.
Academic Unit: Department of Electrical and Computer Engineering; Cybersecurity Center
Language: English
Resource Type: Journal article
DOI: https://doi.org/10.1016/j.softx.2026.102576
Record Identifier: 9914527400001301

A predictive system resilience assessment tool (PSRAT)

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