Machine Learning Evaluation of the Requirement Engineering Process Models for Cloud Computing and Security Issues

In the requirement engineering phase, the team members work to get the user requirements, comprehend them and specify them for the next process. There are many models for the requirement engineering phase. There is a need to select the best Requirement Engineering model, and integrate it with cloud computing, that can give the best response to the users and software developers and avoid mistakes in the requirement engineering phase. In this study, these models are integrated with the cloud computing domain, and we report on the security considerations of all the selected models. Four requirement engineering process models are selected for this study: the Linear approach, the Macaulay Linear approach, and the Iterative and Spiral models. The focus of this study is to check the security aspects being introduced by the cloud platform and assess the feasibility of these models for the popular cloud environment SaaS. For the classification of the security aspects that affect the performance of these model, a framework is proposed, and we check the results regarding selected security parameters and RE models. By classifying the selected RE models for security aspects based on deep learning techniques, we determine that the Loucopoulos and Karakostas iterative requirements engineering process model performs better than all the other models.

A Review of Requirement Engineering Process Models, Tools & Methodologies

As we are living in the Era of Computer Science and almost all individuals and the organizations are completely relying on software systems. The requirement engineering is the most vital and important aspect in the success of any software engineering project. Requirement Engineering is a set of different process that works at different levels, which are incorporated at individual and organizational level Projects We need to consult different sources to find requirements. We need to involve personals from the different fields to find a set of quality requirements. The security issues undergoes as soon as early in the 1st phase of requirements. It is shown from the studies that if we consider Quality Process of Requirement Engineering at the phase it results in saving of million dollars. This paper contains the details study and comparison of different RE Process Models and Requirement Elicitation techniques. This paper elaborates the vital aspects of different Requirement Engineering Process models that help in the selection of appropriate model for the Requirement Engineers and practitioners working in the industry. This Paper also Focus on the giving a detailed view of Elicitation techniques and comparative study including the characteristics and their strengths and weakness. Some strengths and weakness found during detailed study are also structured and listed that is also the helpful for the Appropriate selection of RE Process model.