Secure Data-Flow Compliance Checks between Models and Code Based on Automated Mappings
Paper in proceeding, 2019

During the development of security-critical software, the system implementation must capture the security properties postulated by the architectural design. This paper presents an approach to support secure data-flow compliance checks between design models and code. To iteratively guide the developer in discovering such compliance violations we introduce automated mappings. These mappings are created by searching for correspondences between a design-level model (Security Data Flow Diagram) and an implementation-level model (Program Model). We limit the search space by considering name similarities between model elements and code elements as well as by the use of heuristic rules for matching data-flow structures. The main contributions of this paper are three-fold. First, the automated mappings support the designer in an early discovery of implementation absence, convergence, and divergence with respect to the planned software design. Second, the mappings also support the discovery of secure data-flow compliance violations in terms of illegal asset flows in the software implementation. Third, we present our implementation of the approach as a publicly available Eclipse plugin and its evaluation on five open source Java projects (including Eclipse secure storage).

Data Flow Diagram (DFD)

Security compliance


Model-to-Model Transformation (M2M)


Sven Peldszus

University of Koblenz and Landau

Katja Tuma

University of Gothenburg

Daniel Strüber

University of Gothenburg

Jan Jürjens

Fraunhofer Institute for Software and Systems Engineering ISST

University of Koblenz and Landau

Riccardo Scandariato

University of Gothenburg

Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019

23-33 8906984

22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019
Munich, Germany,

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Other Computer and Information Science

Information Science

Computer Science



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