Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs

S. Gottschalk, E. Yigitbas, G. Engels, in: B. Shishkov (Ed.), Business Modeling and Software Design, Springer International Publishing, 2020, pp. 276–286.

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Abstract
To build successful products, the developers have to adapt their product features and business models to uncertain customer needs. This adaptation is part of the research discipline of Hypotheses Engineering (HE) where customer needs can be seen as hypotheses that need to be tested iteratively by conducting experiments together with the customer. So far, modeling support and associated traceability of this iterative process are missing. Both, in turn, are important to document the adaptation to the customer needs and identify experiments that provide most evidence to the customer needs. To target this issue, we introduce a model-based HE approach with a twofold contribution: First, we develop a modeling language that models hypotheses and experiments as interrelated hierarchies together with a mapping between them. While the hypotheses are labeled with a score level of their current evidence, the experiments are labeled with a score level of maximum evidence that can be achieved during conduction. Second, we provide an iterative process to determine experiments that offer the most evidence improvement to the modeled hypotheses. We illustrate the usefulness of the approach with an example of testing the business model of a mobile application.
Publishing Year
Proceedings Title
Business Modeling and Software Design
Volume
391
Page
276-286
Conference
10th International Symposium on Business Modeling and Software Design
Conference Location
Potsdam
Conference Date
2020-07-06 – 2020-07-08
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Gottschalk S, Yigitbas E, Engels G. Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In: Shishkov B, ed. Business Modeling and Software Design. Vol 391. Lecture Notes in Business Information Processing. Springer International Publishing; 2020:276-286. doi:10.1007/978-3-030-52306-0_18
Gottschalk, S., Yigitbas, E., & Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. https://doi.org/10.1007/978-3-030-52306-0_18
@inproceedings{Gottschalk_Yigitbas_Engels_2020, series={Lecture Notes in Business Information Processing}, title={Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs}, volume={391}, DOI={10.1007/978-3-030-52306-0_18}, booktitle={Business Modeling and Software Design}, publisher={Springer International Publishing}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, editor={Shishkov, BorisEditor}, year={2020}, pages={276–286}, collection={Lecture Notes in Business Information Processing} }
Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.” In Business Modeling and Software Design, edited by Boris Shishkov, 391:276–86. Lecture Notes in Business Information Processing. Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-52306-0_18.
S. Gottschalk, E. Yigitbas, and G. Engels, “Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs,” in Business Modeling and Software Design, Potsdam, 2020, vol. 391, pp. 276–286.
Gottschalk, Sebastian, et al. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.” Business Modeling and Software Design, edited by Boris Shishkov, vol. 391, Springer International Publishing, 2020, pp. 276–86, doi:10.1007/978-3-030-52306-0_18.
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