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Robustness

Technical Report
This report summarizes how to systematically analyze a software architecture with respect to a quality attribute requirement for robustness.
Publisher

Software Engineering Institute

CMU/SEI Report Number
CMU/SEI-2022-TR-004
DOI (Digital Object Identifier)
10.1184/R1/16455660

Abstract

This report summarizes how to systematically analyze a software architecture with respect to a quality attribute requirement for robustness. The report introduces the quality attribute of robustness and common forms of robustness requirements for software architecture. It provides a set of definitions, foundational concepts, and a framework for reasoning about robustness and the satisfaction of robustness requirements by an architecture and by a system that realizes the architecture. It describes a set of architectural mechanisms—patterns and tactics—that are commonly used to satisfy robustness requirements. It also provides a set of steps that an analyst can use to determine whether an architecture documentation package provides enough information to support analysis and, if so, to determine whether the architectural decisions made contain serious risks relative to robustness requirements. An analyst can use these steps to determine whether those requirements, represented as a set of scenarios, have been sufficiently well specified to support the needs of analysis. The reasoning around this quality attribute should allow an analyst, armed with appropriate architectural documentation, to assess the robustness risks inherent in today's architectural decisions, in light of tomorrow’s anticipated needs.

Cite This Technical Report

Kazman, R., Bianco, P., Echeverría, S., & Ivers, J. (2022, March 16). Robustness. (Technical Report CMU/SEI-2022-TR-004). Retrieved May 24, 2024, from https://doi.org/10.1184/R1/16455660.

@techreport{kazman_2022,
author={Kazman, Rick and Bianco, Philip and Echeverría, Sebastián and Ivers, James},
title={Robustness},
month={Mar},
year={2022},
number={CMU/SEI-2022-TR-004},
howpublished={Carnegie Mellon University, Software Engineering Institute's Digital Library},
url={https://doi.org/10.1184/R1/16455660},
note={Accessed: 2024-May-24}
}

Kazman, Rick, Philip Bianco, Sebastián Echeverría, and James Ivers. "Robustness." (CMU/SEI-2022-TR-004). Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, March 16, 2022. https://doi.org/10.1184/R1/16455660.

R. Kazman, P. Bianco, S. Echeverría, and J. Ivers, "Robustness," Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, Technical Report CMU/SEI-2022-TR-004, 16-Mar-2022 [Online]. Available: https://doi.org/10.1184/R1/16455660. [Accessed: 24-May-2024].

Kazman, Rick, Philip Bianco, Sebastián Echeverría, and James Ivers. "Robustness." (Technical Report CMU/SEI-2022-TR-004). Carnegie Mellon University, Software Engineering Institute's Digital Library, Software Engineering Institute, 16 Mar. 2022. https://doi.org/10.1184/R1/16455660. Accessed 24 May. 2024.

Kazman, Rick; Bianco, Philip; Echeverría, Sebastián; & Ivers, James. Robustness. CMU/SEI-2022-TR-004. Software Engineering Institute. 2022. https://doi.org/10.1184/R1/16455660