Scenario-based decision making for architectural variability in product families

Autor:	Pierre America, D.K. Hammer, Mugurel T. Ionita, Henk Obbink, Eelco Rommes
Přispěvatelé:	Mathematics and Computer Science
Rok vydání:	2005
Předmět:	Quantitative analysis (finance) Operations research Computer science media_common.quotation_subject Systems architecture Quality (business) Context (language use) Variation (game tree) View model Set (psychology) Software Bridge (nautical) media_common
Zdroj:	Software Process : Improvement and Practice, 10(2), 171-187. Wiley
ISSN:	1099-1670 1077-4866
DOI:	10.1002/spip.220
Popis:	In this article, we present a systematic approach towards decision making for variability in product families in the context of uncertainty. Our approach consists of the following ingredients: A suitable set of architectural views that bridge the gap between customer needs and available technology, a multiview variation modeling technique, the selection of several scenarios of different kinds, and a quantitative analysis of quality aspects for these scenarios. Copyright © 2005 John Wiley & Sons, Ltd.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec79e6d758a21996c4a70a1f5d35e056 https://doi.org/10.1002/spip.220 Zobrazit plný text záznamu Plný text