@inproceedings{nokey,
title = {Introducing model-based tool support for applying zero-trust security for microservices at a bank},
author = {Donald Baldwin, Martin Henkel and Erik Perjons},
url = {https://ceur-ws.org/Vol-3804/short2o.pdf},
year  = {2024},
date = {2024-09-11},
booktitle = {BIR-WS 2024: BIR 2024 Workshops and Doctoral Consortium, 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024)},
abstract = {Zero-trust security involves designing, coding, and deploying applications, assuming that threats may exist both inside and outside the application environment. Developing applications using a zero-trust design is complex since it requires internal development teams to understand and apply zero-trust principles throughout the development process. This is especially crucial for microservice architectures, where many independent teams develop services. However, enforcing and teaching security principles may lead to a formal process, focusing on documentation and auditing rather than agile development. In this paper, we describe a pragmatic use of a modeling tool that is tied to a knowledge repository and contains means for team communication. The tool supports a systemic way of developing zero-trust architectures, catering to both programming needs and the desire to improve the overall development process. The paper concludes with lessons learned from a bank case study where the tool has been developed and utilised for microservices development},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{nokey,
title = {AOAME4FloWare: Ontology-based feature models for context-aware configurations in IoT applications},
author = {Arianna Fedeli, Martin Peraic, Emanuele Laurenzi and Andrea Polini},
url = {https://ceur-ws.org/Vol-3804/paper8o.pdf},
year  = {2024},
date = {2024-09-11},
booktitle = {BIR-WS 2024: BIR 2024 Workshops and Doctoral Consortium, 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024)},
abstract = {Feature models play a relevant role in capturing and consolidating knowledge within an IoT application (e.g., Smart Home). They facilitate the representation of the many possible systems and devices and their relationships that can be deployed to support an IoT application. Once this knowledge is crystallized, the feature model becomes a reusable resource for configuring specific context solutions, defined as scenarios (e.g., Smart Home solution for hospitals). However, deriving an appropriate configuration from the designed feature model requires deep knowledge of the targeted IoT application and its scenario requirements (e.g., different requirements appear in a smart home solution for a public hospital vs. a private home). To tackle this challenge, we propose AOAME4FloWare. Our ontology-based metamodeling approach empowers the integration of feature models with IoT-context ontologies, harnessing the latter’s power to facilitate the configuration of an IoT application based on specific development requirements. The Design Science Research methodology was followed, where IoT-context requirements were derived from a real-world IoT scenario. The proposed artifact has been evaluated on a smart hospital solution, showing that feature model configuration can be supported by exploiting the underlying domain ontologies.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{nokey,
title = {Using the Fractal Enterprise Model for analyzing and predicting effects from introducing IT solutions},
author = {Giorina Maratsi and Ilia Bider},
url = {https://ceur-ws.org/Vol-3514/paper69.pdf},
year  = {2023},
date = {2023-09-13},
urldate = {2023-09-13},
booktitle = {BIR-WS 2023: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Perspectives in
Business Informatics Research (BIR 2023)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{nokey,
title = {Advancing the BPMN 2.0 standard with an extended animated notation: a research program for token-based process modeling education},
author = {Ilia Maslov, Stephan Poelmans},
url = {https://ceur-ws.org/Vol-3514/paper92.pdf},
year  = {2023},
date = {2023-09-13},
urldate = {2023-09-13},
booktitle = {BIR-WS 2023: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Perspectives in
Business Informatics Research (BIR 2023)},
abstract = {With BPMN 2.0 as a de facto standard, (business) process modeling is critical in effectively managing organizations, spearheading digitalization projects, and fostering innovations. Despite its widespread use, professionals' modeling abilities could be further improved by implementing an effective (business) process modeling training program in higher education. To accomplish this, the paper proposes a teaching and learning technique involving animation, visualization, and simulation based on using tokens in process models. In particular, the paper outlines a four-stage research program, with some preliminary findings presented and discussed. These stages encompass experimental research, a mixed methods approach, and the utilization of eye-tracking analysis, ultimately developing an initial theoretical framework for token-based process modeling education. Furthermore, the paper proposes future research avenues.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}