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Florian Rittmeier, M.Sc.

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Vita
Publikationen
 Florian Rittmeier, M.Sc.

Datenbank- und Informationssysteme

Wissenschaftlicher Mitarbeiter

Telefon:
+49 5251 60-6831
Büro:
FU.404
Web:
Besucher:
Fürstenallee 11
33102 Paderborn

Software Innovation Campus Paderborn (SICP)

Wissenschaftlicher Mitarbeiter

Telefon:
+49 5251 60-6831
Büro:
FU.404
Web(extern):
Besucher:
Fürstenallee 11
33102 Paderborn

s-lab – Software Quality Lab

Wissenschaftlicher Mitarbeiter

Telefon:
+49 5251 60-6831
Büro:
FU.404
Web:
Besucher:
Fürstenallee 11
33102 Paderborn

01.02.2016 - heute

Wissenschaftlicher Mitarbeiter, s-lab


Liste im Research Information System öffnen

2019

Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach

S. Gottschalk, F. Rittmeier, G. Engels, in: Software Business, Springer International Publishing, 2019, pp. 192-207

Mobile app stores like Apple's AppStore or Google's PlayStore are highly competitive markets for third-party developers wanting to develop successful applications. During the development process, many developers focus on the multitude of product functions but neglect the business model as an equally important part. As a result, developers often fail to meet customer needs, leading to unnecessary development costs and poor market penetration. This, in turn, raises the question of how we intertwine the business model and product functions during the development process to ensure a better alignment between the two. In this paper, we show this intertwined development by adapting the concept of Twin Peaks to the business model and product functions. Based on feature modeling as an abstraction layer, we introduce the concept of a Business Model Decision Line (BMDL) to structure the business model decisions and their relation to product functions structured in a Software Product Line (SPL). The basis of our feature models is the analysis of top listed applications in the app stores of Apple and Google. To create and modify both models, we provide an incremental feature structuring and iterative feature selection process. This combination of abstraction layer and development process supports third-party developers to build successful applications both from a business and a product perspective.


Business Models of Store-Oriented Software Ecosystems: A Variability Modeling Approach

S. Gottschalk, F. Rittmeier, G. Engels, in: Business Modeling and Software Design, Springer International Publishing, 2019, pp. 153-169

In the last years, store-oriented software ecosystems are gaining more and more attention from a business perspective. In these ecosystems, third-party developers upload extensions to a store which can be downloaded by end users. While the functional scope of such ecosystems is relatively similar, the underlying business models differ greatly in and between their different product domains (e.g. Mobile Phone, Smart TV). This variability, in turn, makes it challenging for store providers to find a business model that fits their own needs. To handle this variability, we introduce the Business Variability Model (BVM) for modeling business model decisions. The basis of these decisions is the analysis of 60 store-oriented software ecosystems in eight different product domains. We map their business model decisions to the Business Model Canvas, condense them to a variability model and discuss particular variants and their dependencies. Our work provides store providers a new approach for modeling business model decisions together with insights of existing business models. This, in turn, supports them in creating new and improving existing business models.


A Value-Centered Approach for Unique and Novel Software Applications

B. Senft, F. Rittmeier, H.G. Fischer, S. Oberthür, in: Design, User Experience, and Usability. Practice and Case Studies, 2019

DOI


Process Weakness Patterns for the Identification of Digitalization Potentials in Business Processes

F. Rittmeier, G. Engels, A. Teetz, in: Business Process Management Workshops, Springer International Publishing, 2019, pp. 531-542


2018

Digitalisierungspotenziale in Geschäftsprozessen effizient und effektiv erkennen (Effective and Efficient Identification of Digitalization Potentials in Business Processes)

F. Rittmeier, G. Engels, A. Teetz, in: Joint Proceedings of the Workshops at Modellierung 2018 co-located with Modellierung 2018, Braunschweig, Germany, February 21, 2018., CEUR-WS.org, 2018, pp. 215--221

Ein wichtiges Element der Digitalen Transformation ist die Digitalisierung der Prozesse in Unternehmen. Eine Herausforderung besteht hierbei in der systematischen Erkennung von Digitalisierungspotenzialen in Prozessen. Bestehende Ansätze benötigen Experten, welche Potenziale über ihre Erfahrung oder zeitaufwendig mithilfe von Musterkatalogen identifizieren. In diesem Artikel werden verschiedene Digitalisierungspotenziale klassifiziert und Muster für ein zukünftiges musterbasiertes Analyseverfahren zur automatisierten Identifikation von Digitalisierungspotenzialen in BPMN-Diagrammen beschrieben. Im Vergleich zu bestehenden Ansätzen erlaubt es Experten die Identifizierung von Digitalisierungspotenzialen effizienter und effektiver durchzuführen.


A Canvas Method to Foster Interdisciplinary Discussions on Digital Assistance Systems

H.G. Fischer, B. Senft, F. Rittmeier, S. Sauer, in: Design, User Experience, and Usability: Theory and Practice. Proceedings of the 20th International Conference on Human-Computer Interaktion (HCI International 2018), Springer International Publishing, 2018, pp. 711-724

DOI


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