A semi-automated BPMN-based framework for detecting conflicts between security, data-minimization, and fairness requirements
Journal article, 2020

Requirements are inherently prone to conflicts. Security, data-minimization, and fairness requirements are no exception. Importantly, undetected conflicts between such requirements can lead to severe effects, including privacy infringement and legal sanctions. Detecting conflicts between security, data-minimization, and fairness requirements is a challenging task, as such conflicts are context-specific and their detection requires a thorough understanding of the underlying business processes. For example, a process may require anonymous execution of a task that writes data into a secure data storage, where the identity of the writer is needed for the purpose of accountability. Moreover, conflicts not arise from trade-offs between requirements elicited from the stakeholders, but also from misinterpretation of elicited requirements while implementing them in business processes, leading to a non-alignment between the data subjects’ requirements and their specifications. Both types of conflicts are substantial challenges for conflict detection. To address these challenges, we propose a BPMN-based framework that supports: (i) the design of business processes considering security, data-minimization and fairness requirements, (ii) the encoding of such requirements as reusable, domain-specific patterns, (iii) the checking of alignment between the encoded requirements and annotated BPMN models based on these patterns, and (iv) the detection of conflicts between the specified requirements in the BPMN models based on a catalog of domain-independent anti-patterns. The security requirements were reused from SecBPMN2, a security-oriented BPMN 2.0 extension, while the fairness and data-minimization parts are new. For formulating our patterns and anti-patterns, we extended a graphical query language called SecBPMN2-Q. We report on the feasibility and the usability of our approach based on a case study featuring a healthcare management system, and an experimental user study. © 2020, The Author(s).




Data minimization

Requirements engineering



Qusai Ramadan

Universitat Koblenz-Landau

Daniel Struber

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for People, Architecture, Requirements and Traceability

Mattia Salnitri

Polytechnic University of Milan

Jan Jürjens

Universitat Koblenz-Landau

Fraunhofer Institute for Software and Systems Engineering ISST

Volker Riediger

Universitat Koblenz-Landau

Steffen Staab

University of Stuttgart

University of Southampton

Software and Systems Modeling

1619-1366 (ISSN) 1619-1374 (eISSN)

Vol. 19 5 1191-1227

Subject Categories

Other Computer and Information Science

Computer Science

Computer Systems



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