A requirement engineering framework for s-commerce platforms

In this project, we focus on the requirement engineering for the specifics of s-commerce, in order to provide a framework that shapes such requirements in terms of contextualization, elicitation, documentation, validation and negotiation, management, and tooling. Indeed, requirements engineering would delineate the scope of a project and establish the common basis for communication for all disciplines involved in any s-commerce project. Requirements engineering directly influences the project quality and costs. The better the requirements engineering, the less expensive the errors that occur during development, thus decreasing overall costs? (International Requirement Engineering Board: www.ireb.org). Typically, there are three kinds of requirements: functional requirements, quality requirements, and constraints. Functional requirements concern with the core functionalities s-commerce platform provides to its users (individuals and communities). Quality requirements concern with aspects such as privacy, security, reliability, usability, performance, maintainability, and portability. The constraints concern with the scope of the platform. For s-commerce, the generic requirements focus on the interactions that related to the products/services and also processes. That is, the different types of participants interact to improve the products, services, or the processes with a certain level of control (e.g., a degree of freedom that has to be defined by the owner of the product, service, or process). These generic requirements concern with both the front-end and the back-end. That is, (1) what kind of interface the s-commerce platform should present to the participants in order to allow them to interact (participants? perspective) and (2) what kind of inherent computation behind the scene (business owner perspective) the s-commerce system should do, in terms of sensoring products/services/processes, data analysis, machine learning, recommendation algorithms, information retrieval, data mining, etc.