@inproceedings{16933,
  abstract     = {{The continuous innovation of its business models is an important task for a company to stay competitive. During this process, the company has to validate various hypotheses about its business models by adapting to uncertain and changing customer needs effectively and efficiently. This adaptation, in turn, can be supported by the concept of Software Product Lines (SPLs). SPLs reduce the time to market by deriving products for customers with changing requirements using a common set of features, structured as a feature model. Analogously, we support the process of business model adaptation by applying the engineering process of SPLs to the structure of the Business Model Canvas (BMC). We call this concept a Business Model Decision Line (BMDL). The BMDL matches business domain knowledge in the form of a feature model with customer needs to derive hypotheses about the business model together with experiments for validation. Our approach is effective by providing a comprehensive overview of possible business model adaptations and efficient by reusing experiments for different hypotheses. We implement our approach in a tool and illustrate the usefulness with an example of developing business models for a mobile application.}},
  author       = {{Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}},
  booktitle    = {{Proceedings of the 22nd IEEE International Conference on Business Informatics}},
  keywords     = {{Business Model Decision Line, Business Model Adaptation, Hypothesis-driven Adaptation, Software Product Line, Feature Model}},
  location     = {{Antwerp}},
  publisher    = {{IEEE}},
  title        = {{{Hypothesis-driven Adaptation of Business Models based on Product Line Engineering}}},
  doi          = {{10.1109/CBI49978.2020.00022}},
  year         = {{2020}},
}

@inproceedings{13138,
  abstract     = {{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. 
}},
  author       = {{Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}},
  booktitle    = {{Software Business}},
  editor       = {{Hyrynsalmi, Sami and Suoranta, Mari and Nguyen-Duc, Anh and Tyrväinen, Pasi and Abrahamsson, Pekka}},
  keywords     = {{Intertwined Development, Twin Peaks, Feature Model, Business Model, Product Functions}},
  location     = {{ Jyväskylä}},
  number       = {{1}},
  pages        = {{192--207}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach}}},
  doi          = {{10.1007/978-3-030-33742-1_16}},
  volume       = {{370}},
  year         = {{2019}},
}