Authors:
Harald Papp
and
Marc Hanussek
Affiliation:
Department for Digital Business, University of Stuttgart, Institute of Human Factors and Technology Management (IAT), Nobelstraße 12, 70569 Stuttgart, Germany
Keyword(s):
Software Solution, Digitization, Requirements Management, Machine-Learning-as-a-Service, Small-Medium-Sized Enterprises.
Abstract:
Finding a suited software solution for a company poses a resource-intensive task in an ever-widening market. Software should solve the technical task at hand as perfectly as possible and, at the same time, match the company strategy. Based on these two dimensions, domain knowledge and industry context, we propose a methodology for deriving individually tailored evaluation criteria for software solutions to make them assessable. The approach is formalized as a three-layer model, that ensures the encoding of said dimensions, where each layer holds a more refined and individualized criteria list, starting from a general software-agnostic catalogue we composed. Finally, we exemplarily demonstrate our method for Machine-Learning-as-a-Service platforms (MaaS) for small and medium-sized enterprises (SME).