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003			ES-MaUEC
005			20230102123156.0
007			cr nn 008mamaa
008			220713s2022 gw | s |||| 0|eng d
020			_a9783658376659
024	7		_a10.1007/978-3-658-37665-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aPeldszus, Sven Matthias _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aSecurity Compliance in Model-driven Development of Software Systems in Presence of Long-Term Evolution and Variants _cby Sven Matthias Peldszus
250			_a1st edition 2022
264		1	_aWiesbaden _bSpringer International Publishing _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXXVI, 476 páginas) _b138 ilustraciones, 80 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aIntroduction -- Running Example: iTrust -- State of the Art in Secure Software Systems Development -- A Walkthrough of the Proposed Development Approach -- Program Model for Object-oriented Languages -- Model-Synchronization and Tracing -- Application to Legacy Projects using Reverse-Engineering -- Static Security Compliance Checks -- Verification and Enforcement of Security at Run-time -- Specification of Variability throughout Variant-rich Software Systems -- Security in UML Product Lines -- Security Compliance and Restructuring in Variant-rich Software Systems -- The GRaViTY Framework -- Case Studies -- Related Work -- Conclusion.
520			_aFor 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. About the author 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.
776	0	8	_iPrinted edition: _z9783658376642
776	0	8	_iPrinted edition: _z9783658376666
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-37665-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394726 _d394726