http://dl.gi.de/handle/20.500.12116/16439 Thu, 23 Jul 2026 15:33:14 GMT 2026-07-23T15:33:14Z http://dl.gi.de/handle/20.500.12116/16448 Enabling Normalized Systems in Practice - Exploring a Modeling Approach De Bruyn, Peter; Mannaert, Herwig; Verelst, Jan; Huysmans, Philip Contemporary organizations are required to adapt to a changing environment in an agile way, which is often deemed very challenging. Normalized Systems (NS) theory attempts to build highly evolvable software systems by using systems theory as its theoretical underpinning. A modeling method which supports the identification of the NS elements, required for building NS sofware in practice, is currently missing. Therefore, the paper introduces an approach for creating both data models and processing models in the context of NS, as well as their integration. It is discussed how these models can be taken as the input for the actual creation of evolutionary prototypes by using an earlier developed supporting tool. The modeling approach and its suitability for feeding the tool are evaluated to discover their current strengths and weaknesses. Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/16448 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/16449 Security Requirements Elicitation from Airline Turnaround Processes MatuleviÄ?ius, Raimundas; Norta, Alex; Samarütel, Silver Security risk management is an important part of system development. Given that a majority of modern organizations rely heavily on information systems, security plays a big part in ensuring smooth operations of business processes. For example, many people rely on e-services offered by banks and medical establishments. Inadequate security measures in information systems have unwanted effects on an organization’s reputation and on people’s lives. This case study paper targets the secure system development problem by suggesting the application of security requirements elicitation from business processes (SREBP). This approach provides business analysts with means to elicit and introduce security requirements to business processes through the application of the security risk-oriented patterns (SRPs). These patterns help find security risk occurrences in business processes and present mitigations for these risks. At the same time, they reduce the efforts needed for risk analysis. In this paper, the authors report their experience to derive security requirements for mitigating security risks in the distributed airline turnaround systems. Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/16449 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/16445 Robo-Advisory - Digitalization and Automation of Financial Advisory Jung, Dominik; Dorner, Verena; Glaser, Florian; Morana, Stefan Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/16445 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/16447 Process Modeling Recommender Systems - A Generic Data Model and Its Application to a Smart Glasses-based Modeling Environment Fellmann, Michael; Metzger, Dirk; Jannaber, Sven; Zarvic, Novica; Thomas, Oliver The manual construction of business process models is a time-consuming, error-prone task and presents an obstacle to business agility. To facilitate the construction of such models, several modeling support techniques have been suggested. However, while recommendation systems are widely used, e.g., in e-commerce, these techniques are rarely implemented in process modeling tools. The creation of such systems is a complex task since a large number of requirements and parameters have to be taken into account. In order to improve the situation, the authors have developed a data model that can serve as a backbone for the development of process modeling recommender systems (PMRS). This article outlines the systematic development of this model in a stepwise approach using established requirements and validates it against a data model that has been reverse-engineered from a real-world system. In a last step, the paper illustrates an exemplary instantiation of the data model in a Smart Glasses-based modeling environment and discusses business process agility issues. The authors expect their contribution to provide a useful starting point for designing the data perspective of process modeling recommendation features that support business agility in process-intensive environments. Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/16447 2018-01-01T00:00:00Z