Evaluation and selection of SaaS product based on user preferences

Abstract

Software as a Service (SaaS) is a software delivery paradigm in which the product is not installed onpremise, but it is available on Internet and Web. The customers do not pay to possess the software itself but rather to use it. This concept of pay per use is very attractive. 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 latter becomes a major issue. When multiple criteria are involved in decision making, we talk about a problem of «Multi-Criteria Decision-Making» (MCDM). Therefore, this paper presents a method to help customers to choose a better SaaS product satisfying most of their conditions and alternatives. Also, we know that a good method of adaptive selection should be based on the correct definition of the different parameters of choice. This is why we started by extraction and analysis the various parameters involved in the process of the selection of a SaaS application..

Towards Linguistic-based Evaluation System of Cloud Software as a Service (SaaS) Provider

“…Evaluation of Cloud SaaS provider aims to help a Cloud SaaS consumer to assess selected Cloud SaaS providers for evaluation purposes [9], [10]. As a result, there is an improved selection process with greater satisfaction in Cloud SaaS provider choice.…”

“…Therefore, the evaluation system is based on the consumer perspective, which is known as quantifying a service consumer's experiences. A few techniques [6], [7], [8], [9], [10] proposed on evaluation methods for the Cloud SaaS provider. Godse and Mulik (2009) proposed evaluation method for Cloud SaaS provider using the analytic hierarchy process (AHP) approach in order to select an optimal service.…”

“…They also consider some quality attributes for evaluation purposes such as service functionality, architecture, usability, vendor, reputation and cost [6]. In addition, and based the same evaluation mechainsm, Boussoualim and Aklouf (2015) proposed pairwise comparison for weighting the quality attributes as well as an evaluation service provider, and prior to decision making regarding a service. The authors were also considering the functional category of Cloud SaaS providers and nonfunctional quality attributes for the evaluation process.…”

“…In recent years, research on Cloud SaaS selection has gained much attention by developing the evaluation system to assess the selected service provider [6], [7], [8], [9], [10]. The majority of existing works have developed the evaluation system based on pairwise comparing each quality evaluation attribute in order to make a decision and select the optimal service.…”

An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method

“…In this section, we examine existing MCDM methods for cloud service selection. AHP has been used in numerous studies in recent years to evaluate various SaaS cloud services [33], [34], IaaS cloud evaluation [35], [36], and general cloud service evaluation [37], [38]. These AHP-based cloud service selection methodologies are frequently used to assist cloud consumers in weighing and ranking cloud service alternatives using Saaty's basic 1-9 scale.…”