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A Methodology for Deriving Evaluation Criteria for Software Solutions

 
: Papp, Harald; Hanussek, Marc

:
Volltext urn:nbn:de:0011-n-6344845 (319 KByte PDF)
MD5 Fingerprint: 6fd9aa0c1bbd3436f850fa0f3cdbccc1
(CC) by-nc-nd
Erstellt am: 4.5.2021


Parlier, Greg H. (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal; Society for Industrial and Applied Mathematics -SIAM-, Philadelphia/Pa.:
ICORES 2021, 10th International Conference on Operations Research and Enterprise Systems. Proceedings : February 4-6, 2021, web-based event, held in conjunction with ICAART 2021
Setúbal: SciTePress, 2021
ISBN: 978-989-758-485-5
S.145-152
International Conference on Operations Research and Enterprise Systems (ICORES) <10, 2021, Online>
International Conference on Agents and Artificial Intelligence (ICAART) <13, 2021, Online>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAO ()

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).

: http://publica.fraunhofer.de/dokumente/N-634484.html