Security Compliance in Model-driven Development of Software Systems in Presence of Long-Term Evolution and Variants

Peldszus, Sven Matthias

ISBN 10: 3658376643 / ISBN 13: 9783658376642

Editore: Springer Vieweg, 2022

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Codice articolo wbs2331061382

Dati bibliografici

• Titolo: Security Compliance in Model-driven Development of Software Systems in Presence of Long-Term Evolution and Variants
• Editore: Springer Vieweg
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3658376643
• ISBN 13: 9783658376642
• Rilegatura: Brossura
• Condizione: Good
• Peso: 635 grammi

Descrizione articolo

Riassunto

For ensuring a software system's security, it is vital to keep up with changing security precautions, attacks, and mitigations. Although model-based development enables addressing security already at design-time, design models are often inconsistent with the implementation or among themselves. An additional burden are variants of software systems. To ensure security in this context, we present an approach based on continuous automated change propagation, allowing security experts to specify security requirements on the most suitable system representation. We automatically check all system representations against these requirements and provide security-preserving refactorings for preserving security compliance. For both, we show the application to variant-rich software systems. To support legacy systems, we allow to reverse-engineer variability-aware UML models and semi-automatically map existing design models to the implementation. Besides evaluations of the individual contributions, we demonstrate the approach in two open-source case studies, the iTrust electronics health records system and the Eclipse Secure Storage.

Informazioni sull?autore

Since 2016, Sven Matthias Peldszus has been working as a research associate at the University of Koblenz-Landau and joined the Ruhr University Bochum after defending this thesis. His research interests include continuous tracing of non-functional requirements over the entire software life cycle and software quality analysis in variant-rich software systems.