Sebis Research News

Three papers from the sebis chair were accepted for publication at the 22nd International Conference on Enterprise Information Systems in Prague, May 5-7 2020:

Huth, D., Vilser, M., Bondel, G. and Matthes, F.: "Empirical Task Analysis of Data Protection Management and its Collaboration with Enterprise Architecture Management". Proceedings of the 22nd International Conference on Enterprise Information Systems (ICEIS), Prague 2020 - to appear

Bondel, G., Nägele, S., Koch, F., Matthes, F.: "Barriers for the Advancement of an API Economy in the German Automotive Industry and Potential Measures to Overcome these Barriers". Proceedings of the 22nd International Conference on Enterprise Information Systems (ICEIS), Prague 2020 - to appear

Bondel, G., Buchelt, S., Urlberger, H., Ulrich, N., Kabelin, C., Matthes, F.: "Towards a Change Management Framework for Cloud Transitions: Findings from a Case Study at a German Machine Manufacturer". Proceedings of the 22nd International Conference on Enterprise Information Systems (ICEIS), Prague 2020 - to appear

Three sebis research papers were presented at the 53rd Hawaii International Conference on Systems Sciences (HICSS) 2020:

Huth, D., Burmeister, F., Matthes, F., and Schirmer, I. 2020. "Empirical Results on the Collaboration Between Enterprise Architecture and Data Protection Management during the Implementation of the GDPR"

Abstract: The European General Data Protection Regulation’s (GDPR) large imminent fines cause companies worldwide to undertake major efforts for privacy compliance. Any company doing business with European customers has to adhere to new processing principles and documentation requirements, and provide extensive access rights to data subjects.
Enterprise architecture management (EAM) provides a theoretical and methodical framework to align business and IT and has been used, among others, to identify and address concerns that arose from regulation.
In this work, we report results from 24 qualitative interviews with 29 enterprise architects on how EAM supports the work of data protection management (DPM) experts. We derive a conceptual framework with four different levels of EAM support for DPM, and discuss high-level recommendations for each level.

Burmeister, F., Huth, D., Schirmer, I., Drews, P., and Matthes, F. 2020. "Enhancing Information Governance with Enterprise Architecture Management : Design Principles Derived from Benefits and Barriers in the GDPR Implementation"

Abstract: Businesses today are increasingly dependent on how they transform information into economic value, while simultaneously being compliant with intensified privacy requirements, resulting from legal acts like the General Data Protection Regulation (GDPR). As a consequence, realizing information governance has become a topic more important than ever to balance the beneficial use and protection of information. This paper argues that enterprise architecture management (EAM) can be a key to GDPR implementation as one important domain of information governance by providing transparency on information integration throughout an organization. Based on 24 interviews with 29 enterprise architects, we identified a multiplicity of benefits and barriers within the interplay of EAM and GDPR implementation and derived seven design principles that should foster EAM to enhance information governance.

Kleehaus, M., Corpancho, N., Huth, D., Matthes, F. 2020. "Discovery of Microservice-based IT Landscapes at Runtime: Algorithms and Visualizations"

Abstract: The documentation of IT landscapes is a challenging task which is still performed mainly manually. Technology and software development trends like agile practices and microservice-based architectures exacerbate the endeavours to keep documentation up-to-date. Recent research efforts for automating this task have not addressed runtime data for gathering the architecture and remain unclear regarding proper algorithms and visualization support. In this paper, we want to close this research gap by presenting two algorithms that 1) discover the IT landscape based on historical data and 2) create continuously architecture snapshots based on new incoming runtime data. We especially consider scenarios in which runtime artifacts or communications paths were removed from the architecture as those cases are challenging to unveil from runtime data. We evaluate our prototype by analyzing the monitoring data from 79 days of a big automotive company. The algorithms provided promising results. The implemented prototype allows stakeholders to explore the snapshots in order to analyze the emerging behavior of the microservice-based IT landscape.

A research paper has been accepted for publication at the 11^th International Conference for Wirtschaftsinformatik (WI 2013). The paper entitled “Enterprise Architecture Documentation: Current Practices and Future Directions” reports on a survey among 140 Enterprise Architecture (EA) practitioners to analyze issues organizations face while documenting the EA and keeping the documentation up to date. The author team (Sascha Roth, Matheus Hauder, Matthias Farwick, Ruth Breu, and Florian Matthes) present results on current practices, challenges, and automation techniques for EA documentation in a descriptive manner.