An Approach based on user preferences for selecting SaaS product

Software as a Service (SaaS) is a software delivery paradigm in which the product is not installed on-premise, but it is available on Internet and Web. The customers do not pay to possess the software itself but rather to use it. Hence, we see increasing number of organizations adopting SaaS. However, each customer is unique, which leads to a very large variation in the requirements off the software. As several suppliers propose SaaS products, the choice of this later becomes a major issue. When multiple criteria are involved in decision making, we talk about a problem of "Multi-Criteria Decision-Making" (MCDM). The paper we propose presents a method to help customers to choose a better SaaS product satisfying the most of their conditions and alternatives. Since that a good method of adaptive selection should be based on the correct definition of the different parameters of choice, we started by extraction and analysis of the various parameters involved in the process of the selection of a SaaS application.