Service feature modeling: modeling and participatory ranking of service design alternatives

The design of software-intensive service systems involves and affects numerous stakeholders including software engineers, legal and business experts as well as a potentially large number of consumers. In consequence, the challenge arises to adequately represent the interests of these groups with res...

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Bibliographic Details
Published in:Software and systems modeling 2016-05, Vol.15 (2), p.553-578
Main Authors: Wittern, Erik, Zirpins, Christian
Format: Article
Language:English
Subjects:
Business
Compilers
Computer programs
Computer Science
Design analysis
Design engineering
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Modelling
Programming Languages
Programming Techniques
Ranking
Regular Paper
Software
Software Engineering
Software Engineering/Programming and Operating Systems
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Summary:The design of software-intensive service systems involves and affects numerous stakeholders including software engineers, legal and business experts as well as a potentially large number of consumers. In consequence, the challenge arises to adequately represent the interests of these groups with respect to service design decisions. Specifically, shared service design artifacts and participatory methods for influencing their development in consensus are required, which are not yet state of the art in software service engineering. To this end, we present service feature modeling. Using a modeling notation based on feature-oriented analysis, our approach can represent and interrelate diverse service design concerns and capture their potential combinations as service design alternatives. We further present a method that allows stakeholders to rank service design alternatives based on their preferences. The ranking can support service engineers in selecting viable alternatives for implementation. To exploit this potential, we have implemented a toolkit to enable both modeling and participative ranking of service design alternatives. It has been used to apply service feature modeling in the context of public service design and evaluate the approach in this context.
ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-014-0414-4