Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2016
Abstract
Profitability of adopting Software-as-a-Service (SaaS) solutions forexisting applications is currently analyzed mostly in informal way. Informalanalysis is unreliable because of the many conflicting factors that affect costs andbenefits of offering applications on the cloud. We propose a quantitative economicmodel for evaluating profitability of migrating to SaaS that enables potentialservice providers to evaluate costs and benefits of various migration strategiesand choices of target service architectures. In previous work, we presented arudimentary conceptual SaaS economic model enumerating factors that have todo with service profitability, and defining qualitative relations among them. Aquantitative economic model presented in this paper extends the conceptualmodel with equations that quantify these relations, enabling more precisereasoning about profitability of various SaaS implementation strategies, helpingpotential service providers to select the most suitable strategy for their businesssituation.
Keywords
Service provider, Service profitability, Service architecture, Service variability, Service engineering
Discipline
Computer and Systems Architecture | Systems Architecture
Research Areas
Software and Cyber-Physical Systems
Publication
CAiSE 2016: International Conference on Advanced Information Systems Engineering, Slovenia, June 13-17
First Page
393
Last Page
408
Identifier
10.1007/978-3-319-39696-5_24
Publisher
Elsevier
City or Country
Slovenia
Citation
OUH, Eng Lieh and STAN, Jarzabek.
An adaptability-driven model and tool for analysis of service profitability. (2016). CAiSE 2016: International Conference on Advanced Information Systems Engineering, Slovenia, June 13-17. 393-408.
Available at: https://ink.library.smu.edu.sg/sis_research/4007
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://10.1007/978-3-319-39696-5_24