DocumentCode :
2970511
Title :
A Requirements-Driven and Collaborative Decision Support Approach for Evaluating the Viability of Candidate Implementation Technologies
Author :
Wehrwein, Bradley ; Matos, Gilberto ; Tanikella, Rajanikanth
fYear :
2008
fDate :
15-19 Sept. 2008
Firstpage :
293
Lastpage :
299
Abstract :
Platforms, frameworks, and other forms of software assets are proliferating in the industry for well-documented reasons. Architects may choose from a wide variety of implementation technologies to realize their envisioned software architecture. Each asset provides the ability to fulfill a set of requirements, and imposes a set of constraints. Given these complex compatibility relationships, it is a non-trivial task to determine how best to utilize candidate assets toward a defined business problem. This task is made harder when multiple stakeholders from various backgrounds contribute to the decision-making process, as often occurs in large projects.By grouping requirements by functional area, and relating them to corresponding candidate technologies, we propose an approach that allows stakeholders to collaboratively reason about the satisfaction of requirements, the compatibility of technologies, and integration risk. The goal is to narrow the initial space of technologies to a smaller number of viable candidate technology sets.
Keywords :
decision support systems; groupware; software architecture; software performance evaluation; candidate implementation technologies; collaborative decision support approach; decision-making process; software architecture; software assets; Application software; Collaborative software; Collaborative work; Computer industry; Decision making; Distributed computing; Industrial relations; International collaboration; Software architecture; Space technology; COTS evaluation; COTS selection; agile methodologies; software architecture; software requirements; software reuse; technology assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enterprise Distributed Object Computing Conference, 2008. EDOC '08. 12th International IEEE
Conference_Location :
Munich
ISSN :
1541-7719
Print_ISBN :
978-0-7695-3373-5
Type :
conf
DOI :
10.1109/EDOC.2008.46
Filename :
4634780
Link To Document :
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